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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tekken.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,145 @@
+---
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- esper
+- esper-3.1
+- esper-3
+- valiant
+- valiant-labs
+- mistral3
+- mistral
+- mistral-common
+- ministral-3-8b
+- ministral
+- reasoning
+- code
+- code-instruct
+- python
+- javascript
+- dev-ops
+- jenkins
+- terraform
+- ansible
+- docker
+- jenkins
+- kubernetes
+- helm
+- grafana
+- prometheus
+- shell
+- bash
+- azure
+- aws
+- gcp
+- cloud
+- scripting
+- powershell
+- problem-solving
+- architect
+- engineer
+- developer
+- creative
+- analytical
+- expert
+- rationality
+- conversational
+- chat
+- instruct
+base_model: mistralai/Ministral-3-8B-Reasoning-2512
+datasets:
+- sequelbox/Titanium3-DeepSeek-V3.1-Terminus
+- sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus
+- sequelbox/Tachibana3-Part2-DeepSeek-V3.2
+- sequelbox/Mitakihara-DeepSeek-R1-0528
+license: apache-2.0
+---
+
+
+**[Support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/qdicXwrO_XOKRTjOu2yBF.jpeg)
+
+Esper 3.1: [Qwen3-4B-Thinking-2507](https://huggingface.co/ValiantLabs/Qwen3-4B-Thinking-2507-Esper3.1), [Ministral-3-8B-Reasoning-2512](https://huggingface.co/ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1), [gpt-oss-20b](https://huggingface.co/ValiantLabs/gpt-oss-20b-Esper3.1)
+
+
+Esper 3.1 is a coding, architecture, and DevOps reasoning specialist built on Qwen 3.
+- Your dedicated DevOps expert: Esper 3.1 maximizes DevOps and architecture helpfulness, powered by [high-difficulty DevOps and architecture data](https://huggingface.co/datasets/sequelbox/Titanium3-DeepSeek-V3.1-Terminus) generated with DeepSeek-V3.1-Terminus!
+- Improved coding performance: challenging code-reasoning datasets stretch [DeepSeek-V3.1-Terminus](https://huggingface.co/datasets/sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus) and [DeepSeek-V3.2-Exp](https://huggingface.co/datasets/sequelbox/Tachibana3-Part2-DeepSeek-V3.2) to the limits, allowing Esper 3.1 to tackle harder coding tasks!
+- AI to build AI: our [high-difficulty AI expertise data](https://huggingface.co/datasets/sequelbox/Mitakihara-DeepSeek-R1-0528) boosts Esper 3.1's MLOps, AI architecture, AI research, and general reasoning skills.
+- Small model sizes allow running on local desktop and mobile, plus super-fast server inference!
+
+
+## Prompting Guide
+Esper 3.1 uses the [Ministral-3-8B-Reasoning-2512](https://huggingface.co/mistralai/Ministral-3-8B-Reasoning-2512) prompt format.
+
+Example inference script to get started:
+
+```python
+import torch
+from transformers import Mistral3ForConditionalGeneration, MistralCommonBackend
+
+model_id = "ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1"
+
+tokenizer = MistralCommonBackend.from_pretrained(model_id)
+
+model = Mistral3ForConditionalGeneration.from_pretrained(
+    model_id, torch_dtype=torch.bfloat16, device_map="auto"
+)
+
+user_prompt = "In a master-detail interface, you have a list of customer names. To improve perceived performance, you want to prefetch a customer's detailed data when a user hovers their mouse over the customer's name in the list. Implement this behavior using React Query's queryClient.prefetchQuery method within an onMouseEnter event handler."
+#user_prompt = "The core learning mechanism in Soar, chunking, creates new production rules by compiling the results of successful subgoal resolution. Explain the precise mechanism by which the dependency graph of working memory elements that contributed to the subgoal's result determines the conditions of the new chunk. What are the implications of this mechanism for creating overly specific or overly general rules, and how can an architect guide the chunking process?"
+#user_prompt = "Write a Haskell program that models a bank with multiple accounts. Use Haskell's Software Transactional Memory (STM) library to implement a thread-safe transfer function that moves funds from one account to another. The function must execute atomically, ensuring that the total amount of money in the system remains constant even when multiple transfers are attempted concurrently from different threads."
+
+system_prompt = (
+    "# HOW YOU SHOULD THINK AND ANSWER\n\n"
+    "First draft your thinking process (inner monologue) until you arrive at a response. "
+    "Format your response using Markdown, and use LaTeX for any mathematical equations. "
+    "Write both your thoughts and the response in the same language as the input.\n\n"
+    "Your thinking process must follow the template below:"
+    "[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. "
+    "Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]"
+    "Here, provide a self-contained response."
+)
+
+messages = [
+    {
+        "role": "system",
+        "content": system_prompt
+    },
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "text",
+                "text": user_prompt,
+            },
+        ],
+    },
+]
+
+tokenized = tokenizer.apply_chat_template(messages, return_tensors="pt", return_dict=True)
+tokenized = {k: v.to("cuda") for k, v in tokenized.items() if hasattr(v, "to")}
+
+output = model.generate(
+    **tokenized,
+    max_new_tokens=20000,
+)[0]
+
+decoded_output = tokenizer.decode(output[len(tokenized["input_ids"][0]):])
+print(decoded_output)
+```
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
+
+
+Esper 3.1 is created by [Valiant Labs.](http://valiantlabs.ca/)
+
+[Check out our HuggingFace page to see all of our models!](https://huggingface.co/ValiantLabs)
+
+We care about open source. For everyone to use.
+

SYSTEM_PROMPT.txt

@@ -0,0 +1,5 @@
+# HOW YOU SHOULD THINK AND ANSWER
+
+First draft your thinking process (inner monologue) until you arrive at a response. Format your response using Markdown, and use LaTeX for any mathematical equations. Write both your thoughts and the response in the same language as the input.
+
+Your thinking process must follow the template below:[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]Here, provide a self-contained response.

chat_template.jinja

@@ -0,0 +1,126 @@
+{#- Default system message if no system prompt is passed. #}
+{%- set default_system_message = '# HOW YOU SHOULD THINK AND ANSWER\n\nFirst draft your thinking process (inner monologue) until you arrive at a response. Format your response using Markdown, and use LaTeX for any mathematical equations. Write both your thoughts and the response in the same language as the input.\n\nYour thinking process must follow the template below:[THINK]Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate the response to the user.[/THINK]Here, provide a self-contained response.' %}
+
+{#- Begin of sequence token. #}
+{{- bos_token }}
+
+{#- Handle system prompt if it exists. #}
+{#- System prompt supports text content or text and thinking chunks. #}
+{%- if messages[0]['role'] == 'system' %}
+    {{- '[SYSTEM_PROMPT]' -}}
+    {%- if messages[0]['content'] is string %}
+        {{- messages[0]['content'] -}}
+    {%- else %}        
+        {%- for block in messages[0]['content'] %}
+            {%- if block['type'] == 'text' %}
+                {{- block['text'] }}
+            {%- elif block['type'] == 'thinking' %}
+                {{- '[THINK]' + block['thinking'] + '[/THINK]' }}
+            {%- else %}
+                {{- raise_exception('Only text and thinking chunks are supported in system message contents.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- endif %}
+    {{- '[/SYSTEM_PROMPT]' -}}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+    {%- if default_system_message != '' %}
+        {{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}
+    {%- endif %}
+{%- endif %}
+
+
+{#- Tools definition #}
+{%- set tools_definition = '' %}
+{%- set has_tools = false %}
+{%- if tools is defined and tools is not none and tools|length > 0 %}
+    {%- set has_tools = true %}
+    {%- set tools_definition = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}
+    {{- tools_definition }}
+{%- endif %}
+
+{#- Checks for alternating user/assistant messages. #}
+{%- set ns = namespace(index=0) %}
+{%- for message in loop_messages %}
+    {%- if message.role == 'user' or (message.role == 'assistant' and (message.tool_calls is not defined or message.tool_calls is none or message.tool_calls | length == 0)) %}
+        {%- if (message['role'] == 'user') != (ns.index % 2 == 0) %}
+            {{- raise_exception('After the optional system message, conversation roles must alternate user and assistant roles except for tool calls and results.') }}
+        {%- endif %}
+        {%- set ns.index = ns.index + 1 %}
+    {%- endif %}
+{%- endfor %}
+
+{#- Handle conversation messages. #}
+{%- for message in loop_messages %}
+
+    {#- User messages supports text content or text and image chunks. #}
+    {%- if message['role'] == 'user' %}
+        {%- if message['content'] is string %}
+            {{- '[INST]' + message['content'] + '[/INST]' }}
+        {%- elif message['content'] | length > 0 %}
+            {{- '[INST]' }}
+            {%- if message['content'] | length == 2 %}
+                {%- set blocks = message['content'] | sort(attribute='type') %}
+            {%- else %}
+                {%- set blocks = message['content'] %}
+            {%- endif %}
+            {%- for block in blocks %}
+                {%- if block['type'] == 'text' %}
+                    {{- block['text'] }}
+                {%- elif block['type'] in ['image', 'image_url'] %}
+                    {{- '[IMG]' }}
+                {%- else %}
+                    {{- raise_exception('Only text, image and image_url chunks are supported in user message content.') }}
+                {%- endif %}
+            {%- endfor %}
+            {{- '[/INST]' }}
+        {%- else %}
+            {{- raise_exception('User message must have a string or a list of chunks in content') }}
+        {%- endif %}
+
+    {#- Assistant messages supports text content or text, image and thinking chunks. #}
+    {%- elif message['role'] == 'assistant' %}
+        {%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}
+            {{- raise_exception('Assistant message must have a string or a list of chunks in content or a list of tool calls.') }}
+        {%- endif %}
+
+        {%- if message['content'] is string and message['content'] != '' %}
+            {{- message['content'] }}
+        {%- elif message['content'] | length > 0 %}
+            {%- for block in message['content'] %}
+                {%- if block['type'] == 'text' %}
+                    {{- block['text'] }}
+                {%- elif block['type'] == 'thinking' %}
+                    {{- '[THINK]' + block['thinking'] + '[/THINK]' }}
+                {%- else %}
+                    {{- raise_exception('Only text and thinking chunks are supported in assistant message contents.') }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        
+        {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}
+            {%- for tool in message['tool_calls'] %}
+                {{- '[TOOL_CALLS]' }}
+                {%- set name = tool['function']['name'] %}
+                {%- set arguments = tool['function']['arguments'] %}
+                {%- if arguments is not string %}
+                    {%- set arguments = arguments|tojson|safe %}
+                {%- elif arguments == '' %}
+                    {%- set arguments = '{}' %}
+                {%- endif %}
+                {{- name + '[ARGS]' + arguments }}
+            {%- endfor %}
+        {%- endif %}
+
+        {{- eos_token }}
+
+    {#- Tool messages only supports text content. #}
+    {%- elif message['role'] == 'tool' %}
+        {{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}
+
+    {#- Raise exception for unsupported roles. #}
+    {%- else %}
+        {{- raise_exception('Only user, assistant and tool roles are supported, got ' + message['role'] + '.') }}
+    {%- endif %}
+{%- endfor %}

config.json

@@ -0,0 +1,61 @@
+{
+  "architectures": [
+    "Mistral3ForConditionalGeneration"
+  ],
+  "dtype": "bfloat16",
+  "image_token_index": 10,
+  "model_type": "mistral3",
+  "multimodal_projector_bias": false,
+  "projector_hidden_act": "gelu",
+  "spatial_merge_size": 2,
+  "text_config": {
+    "attention_dropout": 0.0,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 262144,
+    "model_type": "ministral3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 34,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_parameters": {
+      "beta_fast": 32.0,
+      "beta_slow": 1.0,
+      "factor": 16.0,
+      "llama_4_scaling_beta": 0.1,
+      "mscale": 1.0,
+      "mscale_all_dim": 1.0,
+      "original_max_position_embeddings": 16384,
+      "rope_theta": 1000000.0,
+      "rope_type": "yarn",
+      "type": "yarn"
+    },
+    "sliding_window": null,
+    "use_cache": true,
+    "vocab_size": 131072
+  },
+  "transformers_version": "5.0.0.dev0",
+  "vision_config": {
+    "attention_dropout": 0.0,
+    "head_dim": 64,
+    "hidden_act": "silu",
+    "hidden_size": 1024,
+    "image_size": 1540,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "model_type": "pixtral",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "rope_parameters": {
+      "rope_theta": 10000.0,
+      "rope_type": "default"
+    },
+    "rope_theta": 10000.0
+  },
+  "vision_feature_layer": -1
+}

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generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 262144,
+  "pad_token_id": 11,
+  "transformers_version": "5.0.0.dev0"
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