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--- |
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base_model: unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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license: apache-2.0 |
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language: |
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- en |
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datasets: |
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- nvidia/OpenCodeReasoning |
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--- |
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### Direct Uses: |
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```python |
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system_prompt=""" |
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You are expert Python programmer. You task contians follwing instructions. |
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You should answer the user's questions about Python. Your thinking must be in the format <think>..</think> |
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The output format must contain only python codes with ```python syntax format. |
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You must use the the user input vairables in your code as code place holder. |
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""" |
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FastLanguageModel.for_inference(model) |
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messages = [ |
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{'role':'system','content':system_prompt}, |
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{"role": "user", "content":"How to write a Graph-based path finder algorithm?" }, |
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] |
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inputs = tokenizer.apply_chat_template( |
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messages, |
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tokenize = True, |
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add_generation_prompt = True, # Must add for generation |
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return_tensors = "pt", |
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).to("cuda") |
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from transformers import TextStreamer |
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text_streamer = TextStreamer(tokenizer, skip_prompt = True) |
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_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens =2048, |
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use_cache = True, temperature = 0.5, min_p = 0.9) |
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``` |
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# Uploaded model |
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- **Developed by:** alibidaran |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
