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--- |
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base_model: unsloth/llama-3-8b-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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- nisaar/Lawyer_GPT_India |
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--- |
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# Usage |
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```python |
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from llama_cpp import Llama |
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llm = Llama.from_pretrained( |
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repo_id="krishkpatil/legal_llm", |
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filename="unsloth.Q4_K_M.gguf", # Replace with the actual GGUF filename if different |
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) |
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response = llm.create_chat_completion( |
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messages = [ |
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{ |
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"role": "user", |
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"content": "Explain the concept of judicial review in India." |
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} |
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] |
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) |
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print(response['choices'][0]['message']['content']) |
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``` |
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# Uploaded model |
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- **Developed by:** krishkpatil |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/llama-3-8b-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) |