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