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---
base_model: unsloth/llama-3-8b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
datasets:
- nisaar/Lawyer_GPT_India
---
# Usage
```python
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="krishkpatil/legal_llm",
filename="unsloth.Q4_K_M.gguf", # Replace with the actual GGUF filename if different
)
response = llm.create_chat_completion(
messages = [
{
"role": "user",
"content": "Explain the concept of judicial review in India."
}
]
)
print(response['choices'][0]['message']['content'])
```
# Uploaded model
- **Developed by:** krishkpatil
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-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) |