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README.md
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positive_prompts: ["You are helpful a coding assistant good at cpp"]
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- source_model: akameswa/mistral-7b-instruct-python-16bit
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positive_prompts: ["You are helpful a coding assistant good at python"]
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```
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positive_prompts: ["You are helpful a coding assistant good at cpp"]
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- source_model: akameswa/mistral-7b-instruct-python-16bit
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positive_prompts: ["You are helpful a coding assistant good at python"]
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```
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## Inference
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```python
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "akameswa/mixtral-4x7b-instruct-code-trial"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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model_kwargs={"load_in_4bit": True},
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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```
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* [Link to inference notebook](https://github.com/akameswa/CodeGenerationMoE/blob/main/code/inference_moe.ipynb)
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