初始化项目，由ModelHub XC社区提供模型

Model: glides/llama-eap
Source: Original Platform

README.md

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+---
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+datasets:
+- nroggendorff/eap
+language:
+- en
+license: mit
+tags:
+- trl
+- sft
+- art
+- code
+- adam
+- mistral
+model-index:
+- name: eap
+  results: []
+pipeline_tag: text-generation
+---
+
+# Edgar Allen Poe LLM
+
+EAP is a language model fine-tuned on the [EAP dataset](https://huggingface.co/datasets/nroggendorff/eap) using Supervised Fine-Tuning (SFT) and Teacher Reinforced Learning (TRL) techniques.
+
+## Features
+
+- Utilizes SFT and TRL techniques for improved performance
+- Supports English language
+
+## Usage
+
+To use the LLM, you can load the model using the Hugging Face Transformers library:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
+import torch
+
+bnb_config = BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_quant_type="nf4",
+    bnb_4bit_compute_dtype=torch.bfloat16
+)
+
+model_id = "nroggendorff/llama-eap"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config)
+
+prompt = "[INST] Write a poem about tomatoes in the style of Poe.[/INST]"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+outputs = model.generate(**inputs)
+
+generated_text = tokenizer.batch_decode(outputs)[0]
+print(generated_text)
+```
+
+## License
+
+This project is licensed under the MIT License.