80 lines
2.3 KiB
Markdown
80 lines
2.3 KiB
Markdown
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---
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base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
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language:
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- en
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license: apache-2.0
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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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- sft
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datasets:
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- mlabonne/FineTome-100k
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---
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# QuantFactory/FineLlama-3.1-8B-GGUF
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This is quantized version of [mlabonne/FineLlama-3.1-8B](https://huggingface.co/mlabonne/FineLlama-3.1-8B) created using llama.cpp
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# Original Model Card
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# 🍷 FineLlama-3.1-8B
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This is a finetune of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) made for my article ["Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth"](https://huggingface.co/blog/mlabonne/sft-llama3).
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It was trained on 100k super high-quality samples from the [mlabonne/FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset.
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**Try the demo**: https://huggingface.co/spaces/mlabonne/FineLlama-3.1-8B
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## 🔎 Applications
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This model was made for educational purposes. I recommend using Meta's instruct model for real applications.
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## ⚡ Quantization
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* **GGUF**: https://huggingface.co/mlabonne/FineLlama-3.1-8B-GGUF
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## 🏆 Evaluation
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TBD.
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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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 = "mlabonne/FineLlama-3.1-8B"
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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(messages, tokenize=False, add_generation_prompt=True)
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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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)
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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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print(outputs[0]["generated_text"])
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```
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---
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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)
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