commit 2e4d97857562d63bfa127ebdc9c8a9c2403fc2f1 Author: ModelHub XC Date: Sun Jul 26 19:57:10 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: WhoTookMyAmogusNickname/NewHope_HF_not_official Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.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 diff --git a/README.md b/README.md new file mode 100644 index 0000000..875427f --- /dev/null +++ b/README.md @@ -0,0 +1,122 @@ +--- +license: llama2 +--- +# THIS MODEL HAS EVAL DATA LEAKED INTO THE DATASET +# THIS IS NOT AN OFFICIAL MODEL CARD + +## ~~NewHope: Harnessing 99% of GPT-4's Programming Capabilities~~ + +We introduce NewHope, a fine-tuned chat model based on llama-2-13b, aiming to provide a strong coding capability. NewHope handle different languages including Python, C++, Java, JavaScript, Go, and more. Preliminary evaluation on HumanEval shows that ~~NewHope possesses 99% of GPT-4's programming capabilities~~. + +**Contact**: SLAM (SUFE Large AI Model) is a research group at Shanghai University of Finance and Economics. +cui.wanyun@sufe.edu.cn + +**TODO**: We will release more evaluatation results and training details later. + +## Evaluation Results + +We evaluated NewHope on [HumanEval](https://github.com/openai/human-eval) using the official evaluation script by OpenAI. We compared the Pass@1 metric of NewHope with other models. The results of other models are from PapersWithCode. + +| Model | Pass@1 | +| ----- | ------ | +| **GPT-4** | **67.0** | +| ~~NewHope~~ | ~~66.5~~ | +| PanGu-Coder2 15B | 61.6 | +| WizardCoder 15B | 57.3 | +| phi-1 1.3B | 50.6 | +| GPT-3.5 | 48.1 | +| phi-1-small | 45.0 | +| PaLM-Coder | 36.0 | +| CodeGeeX2-6B | 35.9 | + +## Model Weights + +We have open-sourced the model weights [NewHope](https://huggingface.co/SLAM-group/NewHope). + +We are uploading the model weights. The weights will be available in a few hours. + + +## Usage + +To load the NewHope model using Transformers, use the following code: +``` +import torch +from transformers import LlamaTokenizer, LlamaForCausalLM + +base_model = "SLAM-group/NewHope" +tokenizer = LlamaTokenizer.from_pretrained(base_model) +model = LlamaForCausalLM.from_pretrained(base_model, torch_dtype=torch.float16, device_map="auto") +# model.config.use_cache is default to `False`. For inference: `model.config.use_cache = True` +``` +**Note:** At least Huggingface Transformers **4.31.0** is required to load this model! + +You can ask NewHope to generate code with instructions. We provide a simple example of how NewHope model generates code with the specific prompt: +``` +# Suppose required tokenizer and model have already been loaded + +instruction = "Write a Python function to tell me what the date is today." +prompt = f" ### Instruction:\n{instruction}\n\n### Response:\n" +inputs = tokenizer(prompt, add_special_tokens=False, return_tensors="pt").to("cuda") +output = model.generate(**inputs, do_sample=True, top_p=0.9, max_new_tokens=2048)[0] +decoded_output = tokenizer.decode(output, skip_special_tokens=True).split("### Response:\n")[-1].strip() +print(decoded_output) +``` + +You can also interact with NewHope in a dialog manner with the following prompt: +``` + ### Instruction:\nQ1\n\n### Response:\nA1 ### Instruction:\nQ2\n\n### Response:\nA2 +``` + + +## Evaluation + +### Local setup +1. Install HumanEval for evaluation. [Details](https://github.com/openai/human-eval) +2. Install dependencies + + ```bash + pip install -r requirements.txt + ``` + +--- +For HumanEval, we use the following prompt: +``` +example_input = 'def is_odd(number: int) -> bool:\n """ Check whether the given number is odd\n >>> is_odd(3)\n True\n >>> is_odd(6)\n False\n """\n' +example_output = 'def is_odd(number: int) -> bool:\n """ Check whether the given number is odd\n >>> is_odd(3)\n True\n >>> is_odd(6)\n False\n """\n return number % 2 == 1' + +task_in_humaneval = "REPLACE `task_in_humaneval` WITH THE SPECIFIC TASK IN HUMANEVAL DATA" + +prompt = f" ### Instruction:\nComplete the given function below:\n\n{example_input}\n\n### Response:\n{example_output} ### Instruction:\nComplete the given function below:\n\n{task_in_human_eval}\n\n### Response:\n" +``` + +To reproduce the results on HumanEval, use the following script: +``` +python complete.py --base_model SLAM-group/NewHope --output_dir output --n_gpu 8 +``` +The above script will generate `samples.jsonl` in `output_dir`, which can be directly evaluated by HumanEval. [Evaluation procedure](https://github.com/openai/human-eval). We conducted the experiment with `fp16` on 8xA800, 80GB GPUs, reaching `66.5%` on Pass@1 (v.s. GPT4 `67.0%`). + +## Citation + +``` +@misc{2023newhope, + title={NewHope: Harnessing 99% of GPT-4's Programming Capabilities}, + author={Wanyun Cui and Qianle Wang}, + howpublished = https://github.com/SLAM-group/newhope, + year={2023} +} +``` + + +# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) +Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_WhoTookMyAmogusNickname__NewHope_HF_not_official) + +| Metric | Value | +|-----------------------|---------------------------| +| Avg. | 51.9 | +| ARC (25-shot) | 61.09 | +| HellaSwag (10-shot) | 84.03 | +| MMLU (5-shot) | 55.73 | +| TruthfulQA (0-shot) | 44.96 | +| Winogrande (5-shot) | 74.98 | +| GSM8K (5-shot) | 15.85 | +| DROP (3-shot) | 26.66 | diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..9c16aa4 --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,3 @@ +{ + "": 32000 +} diff --git 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