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/set system no longer works
|
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I created a model
```
/show modelfile
# Modelfile generated by "ollama show"
# To build a new Modelfile based on this one, replace the FROM line with:
# FROM Sally:latest
FROM wizard-vicuna-uncensored:7b
TEMPLATE """{{ .System }}
USER: {{ .Prompt }}
ASSISTANT:
"""
SYSTEM """ You are a female named Sally, and answer only as Sally the assistant. """
PARAMETER num_ctx 4096
PARAMETER stop "USER:"
PARAMETER stop "ASSISTANT:"
PARAMETER temperature 0.9
```
if while running cli you say something like /set system You are a robot and only answer in monotone
It will set the system
```
/show system
You are a robot and only answer in monotone
```
but
```
/show modelfile
# Modelfile generated by "ollama show"
# To build a new Modelfile based on this one, replace the FROM line with:
# FROM Sally:latest
FROM wizard-vicuna-uncensored:7b
TEMPLATE """{{ .System }}
USER: {{ .Prompt }}
ASSISTANT:
"""
SYSTEM """ You are a female named Sally, and answer only as Sally the assistant. """
PARAMETER num_ctx 4096
PARAMETER stop "USER:"
PARAMETER stop "ASSISTANT:"
PARAMETER temperature 0.9
```
and it continues to be Sally the assistant.
|
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I_kwDOJ0Z1Ps6ebaND
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llama3.2-vision:90b is very slow at generating text on 4x V100 64G GPUs
|
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### What is the issue?
when I use llama3.2-vision:90b ，the model always response so slow. how can I do?
And the GPU is not fully used. CPU used very high.
it's run on V100*4 = 64G GPU
Is anyone can help?
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.4.1
|
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I_kwDOJ0Z1Ps6mPois
| 8,437
|
run phi4 report timed out waiting for llama runner to start
|
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### What is the issue?
I used the docker ollama:latest image, entered the container, and got an error when running ollama run phi4 inside the container.
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
docker ollama:latest
|
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I_kwDOJ0Z1Ps6KCvrJ
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Possible to add an environment option to load kv cache into ram for lower vram usage
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Would it be possible to add an environment option to load kv cache into ram instead of vram to lower vram usage? Such as is available in koboldcpp
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I_kwDOJ0Z1Ps6Hrvp9
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Unexpected embedding model response ("Embedding model" blogpost)
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### What is the issue?
Hi,
I'm running the example from https://ollama.com/blog/embedding-models, and when I look at the value of `data = results['documents'][0][0]` every time I get:
```
Llamas are vegetarians and have very efficient digestive systems
```
The blog implies the value it gets for `data` (based on the generated answer, it doesn't actually say):
```
Llamas are members of the camelid family meaning they're pretty closely related to vicuñas and camels
```
Not sure if anyone else gets this `data` output when running the example from the "Embedding model" blogpost? I've done some further analysis and it does appear that possibly ollama embeddings have degraded a little between v0.1.31 and v0.1.32
Thanks!
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.1.32
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Debug logging for nvcuda init
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Some users are reporting crashes during nvcuda.dll initialization on windows. This should help narrow down where things are going bad.
This will help isolate what the problem is with #7524 and #5625
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PR_kwDOJ0Z1Ps54XuGL
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Add ollama-php library to README.MD
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ollama-php is a library that provides php support for ollama.
|
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PR_kwDOJ0Z1Ps53Lh46
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enable gofmt/gofumpt/goimports/tenv
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PR_kwDOJ0Z1Ps5mz1fR
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Revert "Revert "bump submodule to `6c00a06` (#2479)""
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This reverts commit 6920964b87971c8201097130bfdedbf56aaa13a7.
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PR_kwDOJ0Z1Ps5bnRSq
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add some missing code directives in docs
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- mostly just adding bash to shell scripts
|
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I_kwDOJ0Z1Ps6URAj6
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environmental variable not passed to service
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### What is the issue?
when trying to set Environmental variable using systemctrl edit ollama.service, restart daemon and restarting ollama.service, the override is not passed to the service. trying to override HSA_OVERRIDE_GFX_VERSION to make igpu 780M ryzen 9 7940hs
### OS
Linux
### GPU
AMD
### CPU
AMD
### Ollama version
0.3.6
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I_kwDOJ0Z1Ps58a7Rd
| 2,041
|
Show or check the model of equipment minimum requirements
|
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| 2024-01-18T03:52:17
| 2024-03-11T18:23:15
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When I want to try a model, I need to check the minimum GPU vram of model.
* There are many parameters version like 8b, 13b 70b.
* If it's GGUF format, there will have many bits version like q3_K_S, q4_K_L.
* For example, I have 4070ti in my computer, Running llama2 70b model will get a poor performance because lacks of enough vram.
Is it possibile to check the model whcih can run acceptably for users in their equipment when ollama downloads model? We can get the device info and show the recommend model tag in list.
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| 2,440,845,387
|
I_kwDOJ0Z1Ps6RfFhL
| 6,103
|
show --modelfile doesn't properly quote MESSAGE statements
|
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| 2024-07-31T20:01:18
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### What is the issue?
Exporting a model file ("ollama show --modelfile MODEL") doesn't properly quote MESSAGE statements. As a result, the model file generated cannot be re-imported ("ollama create MODEL -f <modelfile>) without modification. For example:
What is currently generated:
MESSAGE user write a humorous limerick
MESSAGE assistant There once was a fellow named Pete,
Whose dancing was quite incomplete.
He spun and he fell,
And let out a yell,
Now his dancing's no longer so neat!
Format it has to be in for re-importing:
MESSAGE user """write a humorous limerick"""
MESSAGE assistant """There once was a fellow named Pete,
Whose dancing was quite incomplete.
He spun and he fell,
And let out a yell,
Now his dancing's no longer so neat!"""
I do appreciate that it retains line breaks, though. That's handy when trying to extract the text for other applications.
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.3.1
|
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I_kwDOJ0Z1Ps6OLnR_
| 5,428
|
bump llama.cpp for gemma2 fixes
|
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| 2024-07-10T11:47:00
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### What is the issue?
Hi,
there are at least 3 merged PRs in lamma.cpp that fix performance issues for gemma2 models
https://github.com/ggerganov/llama.cpp/pull/8197
https://github.com/ggerganov/llama.cpp/pull/8227
https://github.com/ggerganov/llama.cpp/pull/8244
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
0.1.48
|
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| 2,185,681,739
|
I_kwDOJ0Z1Ps6CRttL
| 3,135
|
LLava returns non-unique responses
|
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| 2024-03-14T07:58:03
| 2024-03-15T03:43:09
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Dear Ollama,
I am using LLava with WebUI, and have already spoken to WebUi github about this, and as here is no errors in the docker error logs, they advised me to contact the Ollama team's Github.
When I type : Describe Image
LLava give me a cloned answer no matter the images I give it. The first image/response (after a system reboot) will be unique, but all future request with new images will give the same exact answer, word for word/a clone response.
It would go off for a few minutes to think, and comeback with the prior text. Whether I use the LLava:7b or the LLava:34b
My graphics card is an AMD RX580 8GB (I understand it is on the low-end side), but nonetheless, I don't understand why it is giving a cloned answer.
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| 2,316,801,691
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I_kwDOJ0Z1Ps6KF5ab
| 4,629
|
granite-code:20b-instruct-q8_0 error loading model vocabulary: unknown pre-tokenizer type: 'refact'
|
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### What is the issue?
llama_model_loader: - type f32: 419 tensors
llama_model_loader: - type q8_0: 209 tensors
llama_model_load: error loading model: error loading model vocabulary: unknown pre-tokenizer type: 'refact'
llama_load_model_from_file: exception loading model
libc++abi: terminating due to uncaught exception of type std::runtime_error: error loading model vocabulary: unknown pre-tokenizer type: 'refact'
time=2024-05-25T03:28:13.829-04:00 level=ERROR source=sched.go:344 msg="error loading llama server" error="llama runner process has terminated: signal: abort trap error:error loading model vocabulary: unknown pre-tokenizer type: 'refact'"
[GIN] 2024/05/25 - 03:28:13 | 500 | 446.67725ms | | POST "/v1/chat/completions"
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.1.38
|
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I_kwDOJ0Z1Ps592nRy
| 2,303
|
Large number of images causes hanging/error
|
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| 2024-02-01T03:49:17
| 2024-02-20T04:04:36
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If submitting too many images via the `images` API parameter in `/api/generate` or` /api/chat`
```
[1706759134] slot 0 - loaded image
[1706759135] slot 0 - loaded image
[1706759135] slot 0 - loaded image
[1706759135] slot 0 - loaded image
[1706759135] slot 0 - loaded image
[1706759135] slot 0 is processing [task id: 0]
[1706759135] slot 0 : kv cache rm - [0, end)
[1706759135] slot 0 - encoding image [id: 0]
[1706759135] slot 0 - encoding image [id: 1]
[1706759136] slot 0 - encoding image [id: 2]
[1706759136] slot 0 - encoding image [id: 3]
[1706759136] slot 0 - encoding image [id: 4]
[1706759144] ingest_images : failed to eval image
[1706759144] failed processing images
[1706759144] unexpected error in llama server update_slots - exiting main loop
[1706759144]
llama server shutting down
```
This seems to be because `llama_decode` returns an error due to an insufficient context window after decoding the model
|
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I_kwDOJ0Z1Ps6KUE8K
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|
Can't download Complete in 0.1.39 rc
|
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NONE
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### What is the issue?
In the latest 0.1.39 version, I am almost unable to complete the model download. It often breaks off and prompts "Error: max retries exceeded: EOF". I have been trying for a whole day but still haven't finished downloading a 4Gb model.
I hope this issue can be fixed soon. Thanks!
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.1.39
|
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I_kwDOJ0Z1Ps6lNPPn
| 8,327
|
I/O error on POST request for "http://localhost:11434/v1/chat/completions\
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| 2025-01-07T01:21:50
| 2025-01-15T07:57:23
| null |
NONE
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### What is the issue?
error infomation:
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"timestamp": "2025-01-07T01:02:47.506+00:00",
"status": 500,
"error": "Internal Server Error",
"trace": "org.springframework.web.client.ResourceAccessException: I/O error on POST request for \"http://localhost:11434/v1/chat/completions": Read timed out\",
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It works fine when I use the old version, but I have this problem when I update to 0.5.4. When using the 0.5.4 version, it works fine in the console, when I use the web for api calls, this problem occurs
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.5.4
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PR_kwDOJ0Z1Ps5aeloe
| 536
|
explicitly follow upload redirects
|
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| 2023-09-15T21:58:10
| 2023-09-20T18:27:04
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|
CONTRIBUTOR
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I_kwDOJ0Z1Ps6noyMn
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|
Error fetching ANY model locally
|
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### What is the issue?
This is the Error message that I am getting:
pulling manifest
pulling 6e9f90f02bb3... 0% ▕ ▏ 0 B/9.0 GB
Error: max retries exceeded: Get "https://dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com/ollama/docker/registry/v2/blobs/sha256/6e/6e9f90f02bb3b39b59e81916e8cfce9deb45aeaeb9a54a5be4414486b907dc1e/data?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=66040c77ac1b787c3af820529859349a%2F20250127%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20250127T091701Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=1afc1dcb356baf92d38344324c5f1504f216d4c77efb000442698708739d0298": dial tcp: lookup dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com: no such host
the command I am using:
`ollama pull <model-name>`
I have also tried using:
`ollama run <model-name>`
Any Model that I want to fetch locally, throws this error. How to fix it? I believe, I have installed OLLAMA properly.
Please tell me how to resolve it.
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.5.4
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I_kwDOJ0Z1Ps6NfdUD
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[feature request] Easy clean-up of large `ollama` files
|
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# Problem
It isn't immediately clear how to delete large models from `ollama`.
```
/usr/share/ollama/.ollama/models/blobs $ du -sh *
4.0K sha256:2e0493f67d0c8c9c68a8aeacdf6a38a2151cb3c4c1d42accf296e19810527988
4.0K sha256:42ba7f8a01ddb4fa59908edd37d981d3baa8d8efea0e222b027f29f7bcae21f9
12K sha256:43070e2d4e532684de521b885f385d0841030efa2b1a20bafb76133a5e1379c1
8.0K sha256:7c23fb36d80141c4ab8cdbb61ee4790102ebd2bf7aeff414453177d4f2110e5d
3.6G sha256:8934d96d3f08982e95922b2b7a2c626a1fe873d7c3b06e8e56d7bc0a1fef9246
8.0K sha256:8c17c2ebb0ea011be9981cc3922db8ca8fa61e828c5d3f44cb6ae342bf80460b
4.0K sha256:e6836092461ffbb2b06d001fce20697f62bfd759c284ee82b581ef53c55de36e
3.9G sha256:e8a35b5937a5e6d5c35d1f2a15f161e07eefe5e5bb0a3cdd42998ee79b057730
4.0K sha256:ed11eda7790d05b49395598a42b155812b17e263214292f7b87d15e14003d337
4.0K sha256:f9b1e3196ecfce03ac97468fa0b6d85941fea050c6666c57f5856a8baec6507d
4.0K sha256:fa304d6750612c207b8705aca35391761f29492534e90b30575e4980d6ca82f6
/usr/share/ollama/.ollama/models/blobs $ ollama rm sha256\:e8a35b5937a5e6d5c35d1f2a15f161e07eefe5e5bb0a3cdd42998ee79b057730
Error: model 'sha256:e8a35b5937a5e6d5c35d1f2a15f161e07eefe5e5bb0a3cdd42998ee79b057730' not found
```
# Proposed Solution
Give users a way to properly delete large files from `ollama` using the `ollama` CLI.
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PR_kwDOJ0Z1Ps5e_A3_
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JSON mode: add `"format": "json"` as an api parameter
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PR_kwDOJ0Z1Ps50QKEe
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update faq
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| 2024-07-02T22:02:41
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CONTRIBUTOR
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|
clarify https proxy faq
related #4834
related #1337
|
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PR_kwDOJ0Z1Ps50mW4B
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gpu: report system free memory instead of 0
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After https://github.com/ollama/ollama/pull/5469, no model will run on CPU on macOS because we always report system available memory as 0. This PR adds system/cpu memory detection to avoid erroring.
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OpenAI API compatibility
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NONE
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Any chance you would consider mirroring OpenAI's API specs and output? e.g., /completions and /chat/completions. That way, it could be a drop-in replacement for the Python openai package by changing out the url.
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I_kwDOJ0Z1Ps6mIEkF
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`tool_choice` argument is being ignored
|
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### What is the issue?
Consider the following snippet:
```python
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from openai import OpenAI
client_kwargs = {
'base_url': "http://localhost:11434/v1"
}
client = OpenAI(**client_kwargs)
# Messages from the log
messages = [{
'role': 'system',
'content': 'You are a Kaggle grandmaster attending a competition.'
}]
# Tools specification from the log
tools = [{
'type': 'function',
'function': {
'name': 'submit_review',
'description': 'Submit a review evaluating the output of the training script.',
'parameters': {
'type': 'object',
'properties': {
'is_bug': {
'type': 'boolean',
'description': 'true if the output log shows that the execution failed or has some bug, otherwise false.'
},
'summary': {
'type': 'string',
'description': 'if there is a bug, propose a fix. Otherwise, write a short summary (2-3 sentences) describing the empirical findings.'
},
'metric': {
'type': 'number',
'description': 'If the code ran successfully, report the value of the validation metric. Otherwise, leave it null.'
},
'lower_is_better': {
'type': 'boolean',
'description': 'true if the metric should be minimized (i.e. a lower metric value is better, such as with MSE), false if the metric should be maximized (i.e. a higher metric value is better, such as with accuracy).'
}
},
'required': ['is_bug', 'summary', 'metric', 'lower_is_better']
}
}
}]
# Make the API call with exact kwargs from the log
response = client.chat.completions.create(
model='llama3.3' if 'base_url' in client_kwargs else 'gpt-4o',
temperature=0.5,
messages=messages,
tools=tools,
tool_choice={
'type': 'function',
'function': {'name': 'submit_review'}
}
)
print(response)
tool_calls = response.choices[0].message.tool_calls
# Print the function call details
print(f"Tool calls: {tool_calls}")
```
Output:
```bash
ChatCompletion(id='chatcmpl-651', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1736861285, model='llama3.3', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage=CompletionUsage(completion_tokens=1, prompt_tokens=59, total_tokens=60, completion_tokens_details=None, prompt_tokens_details=None))
Tool calls: None
```
Otoh, when using `gpt-4o`, I get the following:
```bash
ChatCompletion(id='chatcmpl-ApbGxne0uBHdxD8h44XhqCMX7Er3h', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_DWjp36UQSwc6r8UYDZB4kIct', function=Function(arguments='{"is_bug":false,"summary":"The training script executed successfully, achieving a validation metric of 0.85. This indicates a strong performance, suggesting that the model is well-tuned for the task at hand.","metric":0.85,"lower_is_better":false}', name='submit_review'), type='function')]))], created=1736861367, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=CompletionUsage(completion_tokens=58, prompt_tokens=194, total_tokens=252, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0)))
Tool calls: [ChatCompletionMessageToolCall(id='call_DWjp36UQSwc6r8UYDZB4kIct', function=Function(arguments='{"is_bug":false,"summary":"The training script executed successfully, achieving a validation metric of 0.85. This indicates a strong performance, suggesting that the model is well-tuned for the task at hand.","metric":0.85,"lower_is_better":false}', name='submit_review'), type='function')]
```
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.5.5
|
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PR_kwDOJ0Z1Ps5ZXyMz
| 455
|
generate in build script
|
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[] | null | 1
| 2023-09-01T20:50:01
| 2023-09-08T15:13:13
| 2023-09-05T14:45:05
|
CONTRIBUTOR
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Add llama.cpp exe generation to the build script. Still need to figure out a way to pack both amd64 and arm64 to make this binary truly universal.
|
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PR_kwDOJ0Z1Ps58uBTK
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|
windows: Support alt install paths, fit and finish
|
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- Document alternate install location instructions for binaries and model, and fix path resolution relative to executable
- Pop up progress UI for upgrades (automatic, with cancel button).
- Expose non-default port in menu to disambiguate multiple instances.
Fixes #6725
Fixes #2776
Fixes #6609
|
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I_kwDOJ0Z1Ps6dVYET
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Qwen2.5-Coder-7B-Instruct 2024/11/06 update
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https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/commit/9092a8ae57da39f15b76b309b4f71ff11b6ef01a
They just updated the weights of Qwen2.5-Coder-7B-Instruct without any announcement, so I don't know what exactly what the update is, but it's an update
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Expose Ollama Service to use it in Chrome Browser Extension
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| 2024-02-01T10:02:42
| 2024-10-20T09:30:02
| 2024-02-02T11:36:48
|
NONE
|
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Hey guys,
can you show us, how we can actually use the provided Ollama API's in an chrome extension.
I tried it before, but I get an 403 - Forbidden error. I already looked in the ollama documentation but did not found anything useful.
Hopefully someone can show us how to use it properly. I opened a [stackoverflow question](https://stackoverflow.com/questions/77911717/issue-with-calling-a-local-ollama-api-from-chrome-extension) before.
Best regards,
Chris
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I_kwDOJ0Z1Ps6A6PVw
| 2,857
|
CNCF TAG Runtime and/or Working Group AI Discussion/Presentation
|
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| 2024-03-01T07:07:35
| 2024-05-23T05:44:13
| 2024-05-17T22:50:52
|
NONE
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Hello Ollama maintainers,
We at CNCF TAG Runtime which is the Technical Advisory Group for workload execution on cloud native infrastructure in the Cloud Native Computing Foundation are interested to explore the space of intersection between AI and cloud native technologies.
As the Tech Lead of [CNCF TAG Runtime](https://github.com/cncf/tag-runtime), I am reaching out to you to present/discuss Ollama at one of our meetings.
We have slots available on:
- [the TAG Runtime biweekly meeting](https://docs.google.com/document/d/1k7VNetgbuDNyIs_87GLQRH2W5SLgjgOhB6pDyv89MYk/edit#heading=h.qvunylimkyic)
- [and the CNCF Working Group AI meeting](https://docs.google.com/document/d/1tS6gL5qjGLaHDtAChssqJhBVm8BIpopUA3Ddzm9LHwg/edit#heading=h.9f2t9chnw0yh)
It would be great to learn about the overview of ollama and get to know what lies on your roadmap. We would also be interested in knowing how AI can benefit Cloud Native and vice versa.
If you are interested, please feel free to add it to the agenda or reach out to us in the [#tag-runtime](https://slack.cncf.io/) channel on the CNCF slack.
Thanks!
cc: @raravena80 @nikhita
cc: @jmorganca if you or anyone else on the team are interested! :)
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I_kwDOJ0Z1Ps6BjSCu
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windows generate error
|
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| 2024-03-07T10:21:07
| 2024-05-22T01:16:49
| 2024-03-08T08:05:54
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NONE
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Hi：
I'm getting a build error when building with Windows
The error message is as follows：
Building LCD CPU
generating config with: cmake -S ../llama.cpp -B ../llama.cpp/build/windows/amd64/cpu -DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DBUILD_SHARED_LIBS=on -DLLAMA_NATIVE=off -A x64 -DLLAMA_SERVER_VERBOSE=off
cmake version 3.28.3
CMake suite maintained and supported by Kitware (kitware.com/cmake).
CMake Error at CMakeLists.txt:2 (project):
Generator
NMake Makefiles
does not support platform specification, but platform
x64
was specified.
CMake Error: CMAKE_C_COMPILER not set, after EnableLanguage
CMake Error: CMAKE_CXX_COMPILER not set, after EnableLanguage
-- Configuring incomplete, errors occurred!
llm\generate\generate_windows.go:3: running "powershell": exit status 1
I'm sure I've installed the relevant dependencies：
gcc version 13.2.0 (x86_64-win32-seh-rev1, Built by MinGW-Builds project)
cmake version 3.28.3
Python 3.11.6 (tags/v3.11.6:8b6ee5b, Oct 2 2023, 14:57:12) [MSC v.1935 64 bit (AMD64)] on win32
go version go1.22.1 windows/amd64
How do I get it through the build?
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PR_kwDOJ0Z1Ps5vVVUX
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|
add load timeout env
|
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| 2024-05-14T01:58:06
| 2024-05-23T21:11:32
| 2024-05-23T21:11:31
|
NONE
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Fixes: https://github.com/ollama/ollama/issues/4350
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I_kwDOJ0Z1Ps6OH9Mh
| 5,413
|
CodeSage Base, Large, and Small
|
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| 2024-07-01T18:11:59
| 2024-12-04T07:42:37
| 2024-12-04T07:42:37
|
NONE
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https://github.com/amazon-science/CodeSage
https://huggingface.co/codesage/codesage-base
https://huggingface.co/codesage/codesage-large
https://huggingface.co/codesage/codesage-small
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I_kwDOJ0Z1Ps6hJsWx
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Add a ShowUI model
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https://huggingface.co/showlab/ShowUI-2B
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PR_kwDOJ0Z1Ps5mc1Tk
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Install: don't overwrite systemd config if it exists
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| 2024-02-09T06:37:12
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A little annoying if you have a custom config of any kind, like an `OLLAMA_HOST` variable; but perhaps also you've set it up custom in other ways, like a custom user account.
(I've used this locally and it works great)
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PR_kwDOJ0Z1Ps59TwgR
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|
runner.go: Enable llamafile (all platforms) and BLAS (Mac OS)
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| 2024-10-01T21:26:52
| 2024-10-01T22:58:52
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CONTRIBUTOR
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These are two features that are shown on llama.cpp's system info that are currently different between the two runners. On my test systems the performance difference is very small to negligible but it is probably still good to equalize the features.
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I_kwDOJ0Z1Ps6AC050
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|
Ollama windows installer fails due to virus/trojan detection from Windows Defender!! Help
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As title says
Downloaded the windows installer literally a few mins ago.
Clicked install... window pops up, progress bar counts up... then womp! It Disappears.
Little notification in the corner of windows, I ignore.
Right, where did it go? Hmm. Weird. Can't see Ollama anywhere. Maybe it didn't install?
Try again.
Progress bar counts up... womp. Notification in corner from Windows.
Click it.
Windows has detected a threat, a sever trojan???
Now doing a full scan. But I already ran the installer twice now, with no Ollama icon appearing in the sys tray as shown in Matt William's video:
https://www.youtube.com/watch?v=EMC5QQN_vdU
I can't copy and paste from WIndows Defender but here is a screenshot saying the file affected is indeed Ollama, and severe threat.
What's up with this, please?
Installer was downloaded from THIS github! Not a random location. Here!
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| 767
|
Install ollama binary to user home directory?
|
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| 2023-10-16T03:11:29
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Context: https://github.com/jmorganca/ollama/issues/429#issuecomment-1694642023
Are there plans to provide an option for the user to install the binary to their home directory? In my particular case my work machine limits custom software installs to my home directory, for example.
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Molmo by Ai2
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[Molmo-7B-D-0924](https://huggingface.co/allenai/Molmo-7B-D-0924)
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PR_kwDOJ0Z1Ps6A90DN
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One corrupt manifest should not wedge model operations
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One potential failure mode is an empty file which bubbles up as an EOF error, leading to all attempts to pull anything failing, and listing operations failing. Instead, continue and warn about the corrupt manifest, and allow re-pulling the model to clean up the corruption.
Fixes #7393
Fixes #6920
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I_kwDOJ0Z1Ps549GjX
| 1,404
|
Add support for llamafile
|
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Mozilla has announced a new file format like the modelfile but compiled to a single executable. Are there any plans to support it?
https://github.com/Mozilla-Ocho/llamafile
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PR_kwDOJ0Z1Ps5o4GyJ
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Update gpu.go with additional RocmLinuxGlob
|
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NONE
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Add additional RocmLinuxGlob for e.g Fedora
This leads to a correctly discovered GPU library in the log.
However something else needs to be fixed as a cpu_avx2 server is loaded.
|
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PR_kwDOJ0Z1Ps5wacey
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|
Set darwin CI timeout to longer
|
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PR_kwDOJ0Z1Ps6FbpAX
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server: loosen json format constraints
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I_kwDOJ0Z1Ps6YHj3w
| 6,996
|
pulling manifest Error: 403:
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### What is the issue?
Dears
I faced an error when I pull models.
I don't have any idea. Could you please help?
### OS
Windows
### GPU
Intel
### CPU
Intel
### Ollama version
0.3.12
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I_kwDOJ0Z1Ps5-6Dl-
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|
Add ollama-zig library to README.md
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| 2024-02-11T20:08:09
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I have created zig library for the Ollama REST API.
https://github.com/tr1ckydev/ollama-zig
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I_kwDOJ0Z1Ps5_gWcL
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Where the models installed, I installed llama2 and I am not sure I want to keep it I dont have much space (windows)Help?.
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| 2024-02-16T18:34:22
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NONE
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So I just installed ollama and wrote a comman,d to download llama2, but I dont see much, here is a screenshot and nothing indicating presence of models?
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I_kwDOJ0Z1Ps56X-cn
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I refreshed my local repo and now get this error, Not finding libcublas.so
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llm/llama.go:58:12: pattern llama.cpp/*/build/*/bin/*: cannot embed file llama.cpp/ggml/build/cuda/bin/libcublas.so.: invalid name libcublas.so
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PR_kwDOJ0Z1Ps5toyR6
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types/model: make ParseName use default without question
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CONTRIBUTOR
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|
I_kwDOJ0Z1Ps55LNvb
| 1,436
|
Windows binary race condition
|
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| 2023-12-08T16:36:04
| 2024-01-27T01:48:34
| 2024-01-27T01:48:34
|
NONE
|
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Cross compiled a working ollama.exe for windows but meet the following error when running a model.
```zsh
./ollama.exe run llama2
```
Errors with
```
Error: Post "http://127.0.0.1:11434/api/generate": read tcp 127.0.0.1:52248->127.0.0.1:11434: wsarecv: An existing connection was forcibly closed by the remote host.
```
The terminal running `./ollama.exe serve` closes the connection with the following error,
```
2023/12/08 11:27:55 llama.go:143: gguf runner not found
```
These models work fine on this windows machine in WSL so I don't think it has to do with CPU architecture issues as mentioned [here](https://github.com/jmorganca/ollama/issues/630)
|
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| 2,000,793,782
|
I_kwDOJ0Z1Ps53QbC2
| 1,196
|
Model only working from cli but not API
|
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| 2023-11-19T10:39:01
| 2023-11-19T10:58:59
| 2023-11-19T10:58:58
|
NONE
|
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| null | null | null |
I downloaded TheBloke/deepseek-coder-6.7B-instruct-GGUF
I create a Modelfile and add
```
FROM ./deepseek-coder-6.7b-instruct.Q6_K.gguf
```
and run
```
ollama create skadefro/deepseek -f Modelfile
ollama run skadefro/deepseek
```
No issues.
I then try and run it from code ( using [litellm](https://github.com/zya/litellmjs) )
```
try {
const stream = await completion({
model: 'skadefro/deepseek',
baseUrl: "http://10.0.0.100:11434",
messages: [{ role: "user", content: "Who is president in USA?"}],
stream: true
});
for await (const part of stream) {
process.stdout.write(part.choices[0]?.delta?.content || "");
}
console.log("")
} catch (error) {
console.error(error);
}
```
and now I get
```
Error: Model: skadefro/deepseek not supported. Cannot find a handler.
```
What am I missing here ?
By the way, there is an issue adding RSA SSH keys on https://ollama.ai/settings/keys
it just keeps failing with ( also tried with a fresh one created with `ssh-keygen -t rsa` )
```
error processing ssh ed25519 key
```
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I_kwDOJ0Z1Ps6VQrzc
| 6,623
|
nvidia/NV-Embed-v2 support
|
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[] | null | 14
| 2024-09-04T02:48:55
| 2024-11-15T12:54:38
| null |
NONE
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Can you support the NVIDIA/NV-Embed-v2 model?
https://huggingface.co/nvidia/NV-Embed-v2
| null |
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| 2,119,799,833
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I_kwDOJ0Z1Ps5-WZQZ
| 2,367
|
`/api/chat` and `/api/generate` hang if image cannot be decoded
|
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| 2024-02-06T02:14:44
| 2024-02-20T04:00:09
| 2024-02-20T04:00:09
|
MEMBER
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```
llama_new_context_with_model: graph splits (measure): 3
2024/02/05 21:13:46 dyn_ext_server.go:156: INFO Starting llama main loop
2024/02/05 21:13:46 dyn_ext_server.go:170: INFO loaded 1 images
clip_image_load_from_bytes: failed to decode image bytes
```
|
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PR_kwDOJ0Z1Ps51CNCB
| 5,623
|
Update README.md with new terminal tool ParLlama
|
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| 2024-07-11T01:20:08
| 2024-11-21T10:55:35
| 2024-11-21T10:55:35
|
CONTRIBUTOR
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I_kwDOJ0Z1Ps6DWhpk
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|
No GPU found!
|
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| 2024-03-23T06:14:10
| 2024-04-07T00:07:45
| 2024-03-23T06:51:52
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NONE
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### What are you trying to do?
root@localhost:~# ollama serve
time=2024-03-23T11:28:06.617+05:30 level=INFO source=images.go:806 msg="total blobs: 0"
time=2024-03-23T11:28:06.682+05:30 level=INFO source=images.go:813 msg="total unused blobs removed: 0"
time=2024-03-23T11:28:06.685+05:30 level=INFO source=routes.go: 1110 msg="Listening on 127.0.0.1:11434 (version 0.1.29)" time=2024-03-23T11:28:06.686+05:30 level=INFO source=payload_common.go:112 msg="Extracting dynamic libraries to /tmp/ollama3763750206/runners..."
time=2024-03-23T11:28:14.668+05:30 level=INFO source=payload_common.go:139 msg="Dynamic LLM libraries [cpu cuda_v11]"
time=2024-03-23T11:28:14.668+05:30 level=INFO source=gpu.go:77 msg="Detecting GPU type"
time=2024-03-23T11:28:14.668+05:30 level=INFO source=gpu.go:191 msg="Searching for GPU management library libnvidia-ml.so"
time=2024-03-23T11:28:14.675+05:30 level=INFO source=gpu.go: 237 msg="Discovered GPU libraries: []"
time=2024-03-23T11:28:14.675+05:30 level=INFO source=cpu_common.go:18 msg="CPU does not have vector extensions"
**time=2024-03-23T11:28:14.676+05:30 level=INFO source=routes.go:1133 msg="no GPU detected"**
### How should we solve this?
Guys i am on a very old Samsung tablets that God knows has what specs its sure is 3 years old and has 3gb ram and no graphics card. can you all crowdfund me to get me a some kind of a pc i am 17 yrs old. sure you know what it feels like.
proof
SAMSUNG TAB A7
### What is the impact of not solving this?
I will study hard and make something that helps humanity.
### Anything else?
_No response_
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PR_kwDOJ0Z1Ps50lP-6
| 5,514
|
Update community integration - Painting Droid
|
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| 2024-09-03T20:15:55
| 2024-09-03T20:15:54
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CONTRIBUTOR
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I've added integration with Ollama to [Painting Droid](https://github.com/mateuszmigas/painting-droid). Users can now ask Llava about stuff they are drawing. More integration is coming to allow Ollama to invoke drawing functions within the app.
|
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PR_kwDOJ0Z1Ps53CaaA
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update the import docs
|
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PR_kwDOJ0Z1Ps5s_LZF
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|
update delete handler to use model.Name
|
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CONTRIBUTOR
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also update list handler to use the `Manifests()` iter
follow up to #3715
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I_kwDOJ0Z1Ps52bojP
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|
Enhancement: Enable GPU Support for NVIDIA JetPack and the NVIDIA Jetson Lineup
|
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CONTRIBUTOR
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Hi all,
I recently purchased an [NVIDIA Jetson Orin Developer Kit](https://store.nvidia.com/en-us/jetson/store/?page=1&limit=9&locale=en-us) and am hoping to get Ollama running on it.
These little powerhouses are specifically built for AI applications and they have a ton of capability crammed into a tiny form factor.
The Jetson devices run a flavor of Linux called [JetPack](https://developer.nvidia.com/embedded/jetpack), which is also packed with AI features. Description of JetPack below:
> NVIDIA JetPack SDK is the most comprehensive solution for building end-to-end accelerated AI applications. JetPack provides a full development environment for hardware-accelerated AI-at-the-edge development on Nvidia Jetson modules. JetPack includes [Jetson Linux](https://developer.nvidia.com/embedded/jetson-linux) with bootloader, Linux kernel, Ubuntu desktop environment, and a complete set of libraries for acceleration of GPU computing, multimedia, graphics, and computer vision.
Ollama works in a "CPU only" fashion when installed via the standard `curl https://ollama.ai/install.sh | sh` command when running on JetPack, but it seems to ignore all of the GPU power that is available on the Jetson board.
It would be awesome if we could get Ollama running at full speed on these devices.
Does anyone know where we could begin? I'm happy to help, but don't really know where to start.
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PR_kwDOJ0Z1Ps5x3lvZ
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fix parsing big endian gguf
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| 2024-06-08T19:34:13
| 2024-06-10T16:38:13
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CONTRIBUTOR
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most gguf files will be little endian but a big endian file should not panic
|
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I_kwDOJ0Z1Ps59Kw1s
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|
Python example does not work
|
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| 2024-01-25T09:44:19
| 2024-11-07T10:07:50
| 2024-01-25T10:15:51
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NONE
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Reading this: https://ollama.ai/blog/python-javascript-libraries
Trying to perform the Python example errors on macOS and OEL9:
```python
import ollama
response = ollama.chat(
model="llama2",
messages=[
{
"role": "user",
"content": "Why is the sky blue?",
},
],
)
print(response["message"]["content"])
```
error is:
> Traceback (most recent call last):
> File "/home/my_name/repos/Python/ollama.py", line 1, in <module>
> import ollama
> File "/home/my_name/repos/Python/ollama.py", line 3, in <module>
> response = ollama.chat(
> AttributeError: partially initialized module 'ollama' has no attribute 'chat' (most likely due to a circular import)
Python version: 3.9.18
|
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PR_kwDOJ0Z1Ps5XWtGp
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langchain JS integration
|
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MEMBER
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langchain JS integration
|
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| 2,179,477,779
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PR_kwDOJ0Z1Ps5pQxPq
| 3,056
|
Avoid rocm runner and dependency clash
|
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| 2024-03-11T15:47:46
| 2024-03-11T16:48:51
| 2024-03-11T16:48:48
|
COLLABORATOR
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|
Putting the rocm symlink next to the runners is risky. This moves the payloads into a subdir to avoid potential clashes.
Fixes #3035
Untested at the moment...
|
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I_kwDOJ0Z1Ps6niKS0
| 8,572
|
Ollama cannot start because it try to create an existing directory
|
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| 2025-01-25T04:16:27
| 2025-01-25T08:37:23
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NONE
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### What is the issue?
Since my main partition doesn't have enough memory, I change OLLAMA_MODELS to /media/brianhuster/E/ollama/models. I have created that directory, and `mv /usr/share/ollama/.ollama/models /media/brianhuster/E/ollama/models`. However, after that I cannot restart Ollama because, according to `sudo journalctl -u ollama.service -n 50`, the error come from
```
Error: mkdir /media/brianhuster/E: permission denied
```
The problem is that /media/brianhuster/E already exists, so why the does it try to recreate it? Not to say that I have even change the owner of `/media/brianhuster/E` to `ollama:ollama`, that still doesn't help.
```
drwxrwxr-x 4 ollama ollama 4096 Thg 1 25 11:00 /media/brianhuster/E/
```
### OS
Linux
### GPU
Intel
### CPU
Intel
### Ollama version
Warning: could not connect to a running Ollama instance Warning: client version is 0.5.7
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I_kwDOJ0Z1Ps6P9dvy
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|
How to pass a custom file (txt\doc\pdf) to prompt through the API
|
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| 2024-07-18T05:14:02
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Hello, I have deployed Olama on my local Linux and would like to call it through an API. The model is llama3, and prompt is my custom Python template, which allows the model to generate new Python code according to my Python template. How can I send my template (txt \ doc \ pdf) to the interface through API calls? How to set parameters? thanks！！
curl http://localhost:11434/api/generate -d '{
"model": "llama3",
"prompt":"Why is the sky blue?" //How to use custom prompt templates？？
}'
|
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PR_kwDOJ0Z1Ps5zOwjY
| 5,209
|
OpenAI: v1/completions compatibility
|
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| 2024-06-22T00:46:53
| 2024-07-08T14:30:21
| 2024-07-02T23:01:45
|
CONTRIBUTOR
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`curl http://localhost:11434/v1/completions \
-H "Content-Type: application/json" \
-d '{
"model": "llama3",
"prompt": "Say this is a test",
"temperature": 0
}' | jq`
```
{
"id": "cmpl-210",
"object": "text_completion",
"created": 1719010238,
"model": "llama3",
"system_fingerprint": "fp_ollama",
"choices": [
{
"text": "It looks like you're testing to see if I'm paying attention! Well, I am! You said \"Say this is a test\" - that's a classic phrase often used in tests or assessments. Am I right?",
"index": 0,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 0,
"completion_tokens": 46,
"total_tokens": 46
}
}
```
Resolves #3027
|
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| 2,078,097,750
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PR_kwDOJ0Z1Ps5j4pwD
| 1,944
|
Add Dify.AI to community integrations
|
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| 2024-01-12T05:27:02
| 2024-03-25T19:06:39
| 2024-03-25T19:06:39
|
CONTRIBUTOR
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Dify.AI is a model-agnostic LLMOps platform for building and managing LLM applications. Ollama is now a supported model provider on the platform, as documented in https://docs.dify.ai/advanced/model-configuration/ollama
|
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| 1,936,345,717
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PR_kwDOJ0Z1Ps5ccDDK
| 752
|
prevent waiting on exited command
|
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| 2023-10-10T22:03:14
| 2023-10-11T16:32:15
| 2023-10-11T16:32:14
|
CONTRIBUTOR
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this fixes the issue in main from #724 that causes the server to wait on a subprocess which has already exited
|
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I_kwDOJ0Z1Ps6JMdO6
| 4,488
|
can ollama support openai-whisper
|
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| 2024-05-17T03:36:41
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NONE
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can ollama support openai-whisper
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PR_kwDOJ0Z1Ps5dLJBR
| 840
|
do not reload the running llm when runtime params change
|
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| 2023-10-18T18:10:23
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| 2023-10-19T14:39:59
|
CONTRIBUTOR
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- only reload the running llm if the model has changed, or the options for loading the running model have changed
- rename loaded llm to runner to differentiate from loaded model image
- remove logic which keeps the first system prompt in the generation context
Say I have 2 models, both are based on llama2, but they have different prompts and runtime parameters.
```
FROM llama2
TEMPLATE """
you are a dog
"""
PARAMETER stop "human:"
```
and
```
FROM llama2
TEMPLATE """
you are a cat
"""
PARAMETER stop "bob:"
```
If I am building something that swaps requests between these models a lot our current logic will re-load the models every time, even though the only thing changing is the prompt template or runtime option is changing.
This change compares only model fields which require the model to be re-loaded before swapping the loaded model.
Resolves #337
|
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PR_kwDOJ0Z1Ps5vX3N4
| 4,426
|
Add qollama to list of Web & Desktop integrations
|
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| 2024-05-14T09:34:08
| 2024-06-06T07:34:20
| 2024-06-06T07:34:20
|
NONE
|
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QOllama is a Qt-based client for [ollama](https://github.com/ollama/ollama), providing a user-friendly interface for interacting with the model and managing chat history. It supports cross-platform functionality, ensuring a seamless experience on Windows, macOS, and Linux.
Goto QOllama: [https://github.com/farleyrunkel/qollama](https://github.com/farleyrunkel/qollama)
| Windows | MacOS | Linux |
| :---: | :---: | :---: |
|  |  | todo |
|
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| 2,433,047,670
|
PR_kwDOJ0Z1Ps52n60x
| 6,001
|
Increase Num Parallel for Embedding Models
|
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| 2024-07-26T22:18:57
| 2024-08-12T17:29:13
| 2024-08-12T17:29:13
|
CONTRIBUTOR
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|
negligible impact after num_parallel 4
|
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I_kwDOJ0Z1Ps6BBDgD
| 2,872
|
I dont want the systemd service.
|
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| 2024-03-02T02:48:01
| 2024-04-09T02:33:49
| 2024-03-02T03:11:05
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NONE
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Title says it. I dont want this installer to set up a systemd service without asking. I use `ollama serve`, so the systemd service isn't something i need or want. Upgrading is a pain as a result.
`curl -fsSL https://ollama.com/install.sh | sh` <-- need a better way to update
|
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PR_kwDOJ0Z1Ps50wz3d
| 5,555
|
Bundle missing CRT libraries
|
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| 2024-07-09T01:26:51
| 2024-07-10T19:50:05
| 2024-07-10T19:50:02
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COLLABORATOR
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Some users are experienging runner startup errors due to not having these msvc redist libraries on their host
Fixes #4657
```
> dumpbin /dependents .\llm\build\windows\amd64\cpu\bin\ollama_llama_server.exe
Microsoft (R) COFF/PE Dumper Version 14.29.30154.0
Copyright (C) Microsoft Corporation. All rights reserved.
Dump of file .\llm\build\windows\amd64\cpu\bin\ollama_llama_server.exe
File Type: EXECUTABLE IMAGE
Image has the following dependencies:
WS2_32.dll
llama.dll
ggml.dll
KERNEL32.dll
MSVCP140.dll
VCRUNTIME140.dll
VCRUNTIME140_1.dll
api-ms-win-crt-runtime-l1-1-0.dll
api-ms-win-crt-stdio-l1-1-0.dll
api-ms-win-crt-filesystem-l1-1-0.dll
api-ms-win-crt-math-l1-1-0.dll
api-ms-win-crt-convert-l1-1-0.dll
api-ms-win-crt-heap-l1-1-0.dll
api-ms-win-crt-string-l1-1-0.dll
api-ms-win-crt-time-l1-1-0.dll
api-ms-win-crt-locale-l1-1-0.dll
```
```
> dir .\dist\windows-amd64\ollama_runners\
Directory: C:\Users\danie\code\ollama\dist\windows-amd64\ollama_runners
Mode LastWriteTime Length Name
---- ------------- ------ ----
d----- 7/8/2024 4:14 PM cpu
d----- 7/8/2024 4:16 PM cpu_avx
d----- 7/8/2024 4:19 PM cpu_avx2
d----- 7/8/2024 4:40 PM cuda_v11.3
d----- 7/8/2024 5:46 PM rocm_v5.7
-a---- 2/6/2024 8:14 PM 33752 api-ms-win-crt-convert-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 30168 api-ms-win-crt-environment-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 31672 api-ms-win-crt-filesystem-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 30680 api-ms-win-crt-heap-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 30168 api-ms-win-crt-locale-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 38632 api-ms-win-crt-math-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 34264 api-ms-win-crt-runtime-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 35776 api-ms-win-crt-stdio-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 35800 api-ms-win-crt-string-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 32192 api-ms-win-crt-time-l1-1-0.dll
-a---- 2/6/2024 8:14 PM 567328 msvcp140.dll
-a---- 2/6/2024 8:14 PM 25016 msvcp140_1.dll
-a---- 2/6/2024 8:14 PM 186928 msvcp140_2.dll
-a---- 2/6/2024 8:14 PM 57392 msvcp140_atomic_wait.dll
-a---- 2/6/2024 8:14 PM 21536 msvcp140_codecvt_ids.dll
-a---- 2/6/2024 8:14 PM 98336 vcruntime140.dll
-a---- 2/6/2024 8:14 PM 38448 vcruntime140_1.dll
```
|
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PR_kwDOJ0Z1Ps6Abo89
| 7,428
|
Soften windows clang requirement
|
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| 2024-10-30T18:42:27
| 2024-10-30T19:28:39
| 2024-10-30T19:28:36
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|
This will no longer error if built with regular gcc on windows. To help triage issues that may come in related to different compilers, the runner now reports the compiler used by cgo.
Example runner output when compiled with GCC
```
time=2024-10-30T11:29:49.863-07:00 level=INFO source=runner.go:877 msg=system info="AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 0 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | cgo(gcc)" threads=16
```
and with clang:
```
time=2024-10-30T11:33:00.866-07:00 level=INFO source=runner.go:877 msg=system info="AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 0 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | cgo(clang)" threads=16
```
|
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PR_kwDOJ0Z1Ps6Ev7B9
| 8,031
|
build: fix typo in override variable
|
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The "F" was missing.
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I_kwDOJ0Z1Ps6cvqAz
| 7,465
|
Error raised when using llama3.2 vision
|
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| 2024-11-05T01:37:26
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### What is the issue?
ollama run x/llama3.2-vision:latest "describe this image: /home/papillon/Downloads/objectdetection.jpg"
Added image '/home/papillon/Downloads/objectdetection.jpg'
Error: POST predict: Post "http://127.0.0.1:32927/completion": EOF
ollama run x/llama3.2-vision:latest "hello"
Error: POST predict: Post "http://127.0.0.1:39683/completion": EOF
ollama run x/llama3.2-vision:latest
>>> Hello
Error: POST predict: Post "http://127.0.0.1:39645/completion": EOF
### OS
Linux
### GPU
Nvidia
### CPU
AMD
### Ollama version
0.4.0-rc5
|
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I_kwDOJ0Z1Ps6n7xe5
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Intel ARC 770 memory does not support
|
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### What is the issue?
Windows 11 24H2
Intel ARC 770
Intel I5-12600K
### OS
Windows
### GPU
Intel
### CPU
Intel
### Ollama version
0.5.7
|
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PR_kwDOJ0Z1Ps6JbG7c
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test: byte pair encoding
|
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| 2025-01-29T21:27:48
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Adding a basic unit test for the bpe tokenizer.
Tests on the `next` branch are failing, so this test pipeline will also, but the tokenizer tests specifically pass.
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PR_kwDOJ0Z1Ps5z7q5T
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|
convert gemma2
|
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| 2024-06-28T20:54:43
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CONTRIBUTOR
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resolves #6426
|
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I_kwDOJ0Z1Ps6hqIVf
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|
Inference on an AMD mid-range GPU achieves 1.5 tokens/s, while LM Studio can reach 65 tokens/s
|
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### What is the issue?
I'm just testing out Llama 3.1 8B q4_k_m with “tell me a joke". The performance gap between them is pretty huge. I'm using Ollama + Nvidia for work, but for home fun, I went with a 7800XT. I'm wondering if the performance issue is due to my setup or a limitation in Ollama itself.
Both are running Adrenalin Edition == 24.10.1
### OS
Windows
### GPU
AMD
### CPU
AMD
### Ollama version
0.4.7
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I_kwDOJ0Z1Ps6nwixK
| 8,622
|
Support for Zero-shot Text Classification Models
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It would be helpful to developers if ollama supported zero-shot text classification models, such as [`deberta-v3-large-tasksource-nli`](https://huggingface.co/sileod/deberta-v3-large-tasksource-nli) or other offshoots of BERT, which are fairly small models, that allow you do things like pass in a list of categories and have it classify text (or other inputs) into one of those categories.
(Please consider supporting this as a feature, as it would allow us to develop applications, with the only LLM dependency being ollama; and end users would not be required to install a bunch of weird python dependencies or other developer tools.)
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PR_kwDOJ0Z1Ps52ns7l
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fix nil deref in auth.go
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`server/auth.go` uses `makeRequest` with `nil` `registryOptions` so `registryOptions.CheckRedirect` will dereference `nil` and panic
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I_kwDOJ0Z1Ps5yMyxT
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Mistral model can't be pulled
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Hi,
I saw the [page about mistral](https://ollama.ai/library/mistral) but trying to pull it does not work, is it too soon / some files need to propagate through a CDN?
```
ollama pull mistral
pulling manifest
Error: pull model manifest: model not found
```
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PR_kwDOJ0Z1Ps5evheQ
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instead of static number of parameters for each model family, get the real number from the tensors
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Intel/neural-chat-7b-v3 prompts itself
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### What is the issue?
After conversing Intel/neural-chat-7b-v3 for a long time, asking for more details on certain topics, the system starts prompting itself. It both happens in CLI as well as using a WebUI.
I am not sure whether this is caused by ollama or by an issue with Intel's model.
Here is an example. For context, the conversation was about retrieving unique IP addresses in Kibana.
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.1.38
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Ollama doesn't start in Docker!
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| 2024-07-03T23:26:38
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NONE
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### What is the issue?
Hi guys, I'm trying to deploy Ollama to Hugging Face space using the Docker SDK. I've added this Git repo to Hugging Face since spaces are hosted on the Hugging Face Hub as Git repo and using this Dockerfile without any changes but, it keeps building. I could never get ollama to successfully running. I'm using amd64 architecture and no GPU can someone resolve this issue?
### OS
Docker
### GPU
_No response_
### CPU
AMD
### Ollama version
Latest
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PR_kwDOJ0Z1Ps57uzG-
| 6,837
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Add support for the ppc64le architecture
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| 2024-09-17T09:21:22
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NONE
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This PR will add the support for [IBM POWER Architecture](https://en.wikipedia.org/wiki/IBM_POWER_architecture).
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PR_kwDOJ0Z1Ps51ADBS
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Bump ROCm on windows to 6.1.2
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| 2024-07-10T18:02:49
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COLLABORATOR
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This also adjusts our algorithm to favor our bundled ROCm. I've confirmed VRAM reporting still doesn't work properly so we can't yet enable concurrency by default.
Fixes #5599
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I_kwDOJ0Z1Ps56qvnp
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Feature request: improve install.sh and release binaries for CPU instructions
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Is it feasible for precompile multiple binaries for AVX1, AVX2, AVX512 and Openblas just like https://github.com/ggerganov/llama.cpp/releases
The install.sh can detect the platform not only CPU architecture but also the grep cpuinfo to download most suitable binaries.
I hope it is an elegant solution for https://github.com/jmorganca/ollama/issues/644
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I_kwDOJ0Z1Ps6Osks-
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Support glm3 and glm4
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| 2024-07-07T13:08:29
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Currently, llama.cpp has merged a PR for this model, which means that llama.cpp already supports gml3 and glm4. We hope to add support for this model @jmorganca
https://github.com/ggerganov/llama.cpp/pull/8031
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API: JSON response is empty
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CONTRIBUTOR
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### What is the issue?
Hello
I'm not sure if that is a model specific problem, but sometimes I get a (somewhat) empty JSON response. It doesn't happen if the format is not set to json.
Example:
```
C:\Users\Boessu>curl http://localhost:11434/api/generate -d "{\"model\":\"llama3.2\",\"prompt\":\"Why is the sky blue?\",\"stream\":false,\"format\":\"json\"}"
{"model":"llama3.2","created_at":"2024-11-10T19:30:29.9494461Z","response":"{}\n \n \n\n\n\n\n\n \n\n\n\n \n \n\n\n\n\n\n\n \n\n\n\n \n\n \n \n\n\n \n \n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n\n\n\n \n \n \n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n \n \n \n \n ","done":false}
```
If I retry that request several times, I get the answer in the JSON response after some time. The "empty" response is also quite fast (quite frankly too fast, as it has to load the model...).
It "normally" happens if ollama has to load the model with the request. So to reproduce you should execute "ollama stop llama3.2" before.
Maybe it has to do with the loading of the model?
### OS
Windows
### GPU
AMD
### CPU
AMD
### Ollama version
0.4.0
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PR_kwDOJ0Z1Ps5tp-Ae
| 3,893
|
add param count tag to latest push by default
|
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|
CONTRIBUTOR
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- add a tag for the model parameter count by default when a new latest model is pushed
- allow skipping this default with an environment flag
This change automatically adds an additional parameter count flag when a new `latest` tag of a model is pushed. This should help users to conform to our expected tagging format. It will also allow us to reliably display parameter counts in the UI.
For cases like Gemma where the documented parameter count does not match the actual parameter count there is a hidden environment variable to by-pass this behaviour.
|
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I_kwDOJ0Z1Ps5_wh3N
| 2,603
|
Issue with anything-llm in connection with the port binding to an IP in a virtual docker network
|
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| 2024-02-20T18:57:46
|
NONE
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### Backgound
When I set up the Docker container of https://github.com/Mintplex-Labs/anything-llm, and started a conversation, I received the following error:
> llama:streaming - could not stream chat. Error: connect ECONNREFUSED 172.17.0.1:11434
although `OLLAMA_BASE_PATH='http://host.docker.internal:11434` was set in the `.env` and `--add-host=host.docker.internal:host-gateway` to docker run command for this to resolve was added.
**System:**
- Ubuntu Mate 23.10
- current docker image
- ollama version is 0.1.20
**Solution**:
- [ ] It should be clearer stated that ollama itself has a restriction to localhost and 127.0.0.1 by default and what steps need to be taken to make it work with docker environments. This means that the IP of the Host inside of the virtual docker network does **not bind to port 11434** of the host system by default. It took me several hours to discover and fix this issue.
**Steps to fix this:**
1. Edit the service file:
Open /etc/systemd/system/ollama.service and add the following line inside the [Service] section:
`Environment="OLLAMA_HOST=0.0.0.0"`
(the IP can and should of course also be adapted to the respective personal situation, 0.0.0.0 works for all, though.)
2. Once you’ve made your changes, reload the daemons using the command
`sudo systemctl daemon-reload`
3. and then restart the service with
`sudo systemctl restart ollama`
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I_kwDOJ0Z1Ps5sWEHl
| 188
|
Unable to compile on windows using standard go installation
|
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| 2023-07-24T06:22:48
| 2023-09-15T16:12:51
| 2023-09-07T13:27:00
|
NONE
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Steps I followed:
- I installed the newest GoLang using winget
- I cloned the repro
- I executed `go build .`
- After initial library download build fails with the error message:
> \# github.com/jmorganca/ollama/server
> server\routes.go:54:20: undefined: llama.New
- I then checked out tags/v0.0.11
- Same error
- Downloaded release zip source
- Same error
- Opening in vscode
- It also shows the error and the import "github.com/jmorganca/ollama/llama" resolves to llama/utils.go
Did I go into the wrong direction at any given point?
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| 1,998,052,342
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PR_kwDOJ0Z1Ps5fsbzA
| 1,161
|
placeholder environment variables
|
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| 2023-11-17T00:55:55
| 2023-11-17T22:50:15
| 2023-11-17T22:45:39
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I_kwDOJ0Z1Ps6RgWPe
| 6,111
|
Request: add octopus-v4
|
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NONE
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Could you add octopus v4? (I haven't tested for malware, but it looks somewhat legit)
https://huggingface.co/NexaAIDev/Octopus-v4
https://huggingface.co/NexaAIDev/octopus-v4-gguf
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Adding 'Ollama App' as community integrations
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| 2024-08-22T17:08:06
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CONTRIBUTOR
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A little while back, I created an app to interact with Ollama from your phone called 'Ollama App'. I know, very creative, but the name stuck. I'd be very happy if it could be added to the integrations list.
At the moment, I only recommend using the mobile version, it's the most stable one, and the only one with a stable build, but I am cooking around a few other platforms (Flutter really is fabulous with multiplatform), like Desktop and maybe Web. When I'd decide to remove the experimental tag, where should I put them? Should I copy the entry and put it into multiple categories?
Thank you
|
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