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README.md
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- mzbac/function-calling-llama-3-format-v1.1
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language:
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- en
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---
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- mzbac/function-calling-llama-3-format-v1.1
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language:
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- en
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---
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# Model
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This model has been fine-tuned based on Meta-Llama/Meta-Llama-3-8B-Instruct using the mlx-lm with a cleaned-up function calling dataset that removed invalid JSON data and single quotes around argument values.
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "mzbac/llama-3-8B-Instruct-function-calling-v0.2"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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tool = {
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"name": "search_web",
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"description": "Perform a web search for a given search terms.",
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"parameter": {
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"type": "object",
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"properties": {
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"search_terms": {
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"type": "array",
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"items": {"type": "string"},
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"description": "The search queries for which the search is performed.",
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"required": True,
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}
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}
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},
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}
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messages = [
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{
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"role": "system",
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"content": f"You are a helpful assistant with access to the following functions. Use them if required - {str(tool)}",
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},
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{"role": "user", "content": "Today's news in Melbourne, just for your information, today is April 27, 2014."},
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]
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input_ids = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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return_tensors="pt"
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).to(model.device)
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terminators = [
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tokenizer.eos_token_id,
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tokenizer.convert_tokens_to_ids("<|eot_id|>")
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]
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outputs = model.generate(
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input_ids,
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max_new_tokens=256,
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eos_token_id=terminators,
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do_sample=True,
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temperature=0.1,
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)
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response = outputs[0]
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print(tokenizer.decode(response))
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# <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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# You are a helpful assistant with access to the following functions. Use them if required - {'name':'search_web', 'description': 'Perform a web search for a given search terms.', 'parameter': {'type': 'object', 'properties': {'search_terms': {'type': 'array', 'items': {'type':'string'}, 'description': 'The search queries for which the search is performed.','required': True}}}}<|eot_id|><|start_header_id|>user<|end_header_id|>
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# Today's news in Melbourne, just for your information, today is April 27, 2014.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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# <functioncall> {"name": "search_web", "arguments": {"search_terms": ["Melbourne news", "April 27, 2014"]}}<|eot_id|>
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```
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