初始化项目，由ModelHub XC社区提供模型

Model: QuantFactory/FineLlama-3.1-8B-GGUF
Source: Original Platform

README.md

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+
+---
+
+base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- sft
+datasets:
+- mlabonne/FineTome-100k
+
+---
+
+![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
+
+# QuantFactory/FineLlama-3.1-8B-GGUF
+This is quantized version of [mlabonne/FineLlama-3.1-8B](https://huggingface.co/mlabonne/FineLlama-3.1-8B) created using llama.cpp
+
+# Original Model Card
+
+
+# 🍷 FineLlama-3.1-8B
+
+![](https://i.imgur.com/jUDo6ID.jpeg)
+
+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).
+
+It was trained on 100k super high-quality samples from the [mlabonne/FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset.
+
+**Try the demo**: https://huggingface.co/spaces/mlabonne/FineLlama-3.1-8B
+
+## 🔎 Applications
+
+This model was made for educational purposes. I recommend using Meta's instruct model for real applications.
+
+## ⚡ Quantization
+
+* **GGUF**: https://huggingface.co/mlabonne/FineLlama-3.1-8B-GGUF
+
+## 🏆 Evaluation
+
+TBD.
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mlabonne/FineLlama-3.1-8B"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
+---
+
+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)