commit 283ffdc1dc8a77aa90a4584f9eb5d56278e3ce27 Author: ModelHub XC Date: Wed May 6 17:03:49 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: AdamLucek/Orpo-Llama-3.2-1B-15k Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..e561e42 --- /dev/null +++ b/README.md @@ -0,0 +1,78 @@ +--- +library_name: transformers +license: mit +datasets: +- mlabonne/orpo-dpo-mix-40k +base_model: +- meta-llama/Llama-3.2-1B +pipeline_tag: text-generation +--- + +# Orpo-Llama-3.2-1B-15k + +AdamLucek/Orpo-Llama-3.2-1B-15k is an [ORPO](https://arxiv.org/abs/2403.07691) fine tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on a subset of 15,000 shuffled entries of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k). + +Trained for 7 hours on an L4 GPU with [this training script](https://colab.research.google.com/drive/1KV9AFAfhQCSjF8Ej4rI2ejDmx5AUnqHq?usp=sharing), modified from [Maxime Labonne's original guide](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) + +For full model details, refer to the base model page [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) + +## Evaluations + +In comparsion to [AdamLucek/Orpo-Llama-3.2-1B-40k](https://huggingface.co/AdamLucek/Orpo-Llama-3.2-1B-40k) using [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness). + +| Benchmark | 15k Accuracy | 15k Normalized | 40k Accuracy | 40k Normalized | Notes | +|----------------|--------------|----------------|--------------|----------------|-------------------------------------------| +| AGIEval | 22.14% | 21.01% | 23.57% | 23.26% | 0-Shot Average across multiple reasoning tasks | +| GPT4ALL | 51.15% | 54.38% | 51.63% | 55.00% | 0-Shot Average across all categories | +| TruthfulQA | 42.79% | N/A | 42.14% | N/A | MC2 accuracy | +| MMLU | 31.22% | N/A | 31.01% | N/A | 5-Shot Average across all categories | +| Winogrande | 61.72% | N/A | 61.12% | N/A | 0-shot evaluation | +| ARC Challenge | 32.94% | 36.01% | 33.36% | 37.63% | 0-shot evaluation | +| ARC Easy | 64.52% | 60.40% | 65.91% | 60.90% | 0-shot evaluation | +| BoolQ | 50.24% | N/A | 52.29% | N/A | 0-shot evaluation | +| PIQA | 75.46% | 74.37% | 75.63% | 75.19% | 0-shot evaluation | +| HellaSwag | 48.56% | 64.71% | 48.46% | 64.50% | 0-shot evaluation | + +## Using this Model + +```python +from transformers import AutoTokenizer +import transformers +import torch + +# Load Model and Pipeline +model = "AdamLucek/Orpo-Llama-3.2-1B-15k" + +pipeline = transformers.pipeline( + "text-generation", + model=model, + torch_dtype=torch.float16, + device_map="auto", +) + +# Load Tokenizer +tokenizer = AutoTokenizer.from_pretrained(model) + +# Generate Message +messages = [{"role": "user", "content": "What is a language model?"}] +prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) +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"]) +``` + +## Training Statistics + +
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