From 1ff5e626ffdf339b658d4dfd7155b27150bebdcf Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 13 May 2026 22:32:32 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: Open-Orca/Mistral-7B-SlimOrca Source: Original Platform --- .gitattributes | 51 ++++++ README.md | 167 +++++++++++++++++ added_tokens.json | 7 + config.json | 25 +++ configuration.json | 1 + pytorch_model-00001-of-00002.bin | 3 + pytorch_model-00002-of-00002.bin | 3 + pytorch_model.bin.index.json | 298 +++++++++++++++++++++++++++++++ special_tokens_map.json | 11 ++ tokenizer.model | 3 + tokenizer_config.json | 65 +++++++ 11 files changed, 634 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 added_tokens.json create mode 100644 config.json create mode 100644 configuration.json create mode 100644 pytorch_model-00001-of-00002.bin create mode 100644 pytorch_model-00002-of-00002.bin create mode 100644 pytorch_model.bin.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..771efc0 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,51 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text + + +*.bz2 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 + +*.msgpack 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 +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* 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 +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +pytorch_model-00001-of-00002.bin filter=lfs diff=lfs merge=lfs -text +pytorch_model-00002-of-00002.bin filter=lfs diff=lfs merge=lfs -text +tokenizer.model filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..6e40003 --- /dev/null +++ b/README.md @@ -0,0 +1,167 @@ +--- +datasets: +- Open-Orca/SlimOrca +language: +- en +library_name: transformers +pipeline_tag: text-generation +license: apache-2.0 +--- + +

🐋 Mistral-7B-SlimOrca 🐋

+ + +PRE-RELEASE, DEMO MODEL + + +![OpenOrca Logo](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca/resolve/main/Images/MistralOrcaLogo.png "MistralOrca Logo") +[Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) + + +# OpenOrca - Mistral - 7B - 8k - Slim Data! + +We have used our own [OpenOrca dataset](https://huggingface.co/datasets/Open-Orca/OpenOrca) to fine-tune on top of [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1). +This dataset is our attempt to reproduce the dataset generated for Microsoft Research's [Orca Paper](https://arxiv.org/abs/2306.02707). +We use [OpenChat](https://huggingface.co/openchat) packing, trained with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl). + +This model is being released as a demonstration of the performance of our new curated subset of the OpenOrca data: **[SlimOrca](https://huggingface.co/datasets/Open-Orca/SlimOrca)**. + +This new dataset release provides an efficient means of reaching performance on-par with using larger slices of our data, while only including ~500k GPT-4 completions. + +HF Leaderboard evals place this model as near parity with our recent [MistralOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) release, which was the #1 model at release time recently. + +Codename: "*MistralSlimOrca*" + +We are in-process with training more models, so keep a look out on our org for releases coming soon with exciting partners. + +We will also give sneak-peak announcements on our Discord, which you can find here: + +https://AlignmentLab.ai + +or check the OpenAccess AI Collective Discord for more information about Axolotl trainer here: + +https://discord.gg/5y8STgB3P3 + + + +# Prompt Template + +We used [OpenAI's Chat Markup Language (ChatML)](https://github.com/openai/openai-python/blob/main/chatml.md) format, with `<|im_start|>` and `<|im_end|>` tokens added to support this. + +This means that, e.g., in [oobabooga](https://github.com/oobabooga/text-generation-webui/) the "`MPT-Chat`" instruction template should work, as it also uses ChatML. + +This formatting is also available via a pre-defined [Transformers chat template](https://huggingface.co/docs/transformers/main/chat_templating), +which means that lists of messages can be formatted for you with the `apply_chat_template()` method: + +```python +chat = [ + {"role": "system", "content": "You are MistralSlimOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!"} + {"role": "user", "content": "How are you?"}, + {"role": "assistant", "content": "I am doing well!"}, + {"role": "user", "content": "Please tell me about how mistral winds have attracted super-orcas."}, +] +tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True) +``` + +which will yield: + +``` +<|im_start|>system +You are MistralSlimOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers! +<|im_end|> +<|im_start|>user +How are you?<|im_end|> +<|im_start|>assistant +I am doing well!<|im_end|> +<|im_start|>user +Please tell me about how mistral winds have attracted super-orcas.<|im_end|> +<|im_start|>assistant +``` + +If you use `tokenize=True` and `return_tensors="pt"` instead, then you will get a tokenized +and formatted conversation ready to pass to `model.generate()`. + + +# Inference + +See [this notebook](https://colab.research.google.com/drive/tbd) for inference details. + +Note that you need the development snapshot of Transformers currently, as support for Mistral hasn't been released into PyPI yet: + +``` +pip install git+https://github.com/huggingface/transformers +``` + + +# Evaluation + +## HuggingFace Leaderboard Performance + +We have evaluated using the methodology and tools for the HuggingFace Leaderboard, and find that we have dramatically improved upon the base model. +We find **106%** of the base model's performance on HF Leaderboard evals, averaging **65.85**. + + +This is also **98.6%** of *`Llama2-70b-chat`*'s performance! + +![HF Leaderboard](https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca/resolve/main/Images/MistralSlimOrca7BHFLeaderboard.png) + + +| Metric | Value | +|-----------------------|-------| +| MMLU (5-shot) | 62.77 | +| ARC (25-shot) | 62.54 | +| HellaSwag (10-shot) | 83.86 | +| TruthfulQA (0-shot) | 54.23 | +| Avg. | 65.85 | + +We use [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. + + +# Dataset + +We used a curated, filtered selection of most of the GPT-4 augmented data from our OpenOrca dataset, which aims to reproduce the Orca Research Paper dataset. + +The key change in this dataset is that we've done an additional pass, using GPT-4 to remove answers which appear wrong based on the human annotations from the FLAN dataset. +This reduces the dataset size to only ~500k entries, allowing training to a similar quality level to our previous releases with 2/3 the compute requirement. + + +# Training + +We trained with 8x A6000 GPUs for 40 hours, completing 4 epochs of full fine tuning on our dataset in one training run. +Commodity cost was ~$240. + + +# Citation + +```bibtex +@software{lian2023mistralslimorca1 + title = {MistralSlimOrca: Mistral-7B Model Instruct-tuned on Filtered, Corrected, OpenOrcaV1 GPT-4 Dataset}, + author = {Wing Lian and Bleys Goodson and Guan Wang and Eugene Pentland and Austin Cook and Chanvichet Vong and "Teknium"}, + year = {2023}, + publisher = {HuggingFace}, + url = {https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca} +} +@misc{SlimOrca, + title = {SlimOrca: An Open Dataset of GPT-4 Augmented FLAN Reasoning Traces, with Verification}, + author = {Wing Lian and Guan Wang and Bleys Goodson and Eugene Pentland and Austin Cook and Chanvichet Vong and "Teknium"}, + year = {2023}, + publisher = {HuggingFace}, + url = {https://https://huggingface.co/Open-Orca/SlimOrca} +} +@misc{mukherjee2023orca, + title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4}, + author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah}, + year={2023}, + eprint={2306.02707}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +@misc{longpre2023flan, + title={The Flan Collection: Designing Data and Methods for Effective Instruction Tuning}, + author={Shayne Longpre and Le Hou and Tu Vu and Albert Webson and Hyung Won Chung and Yi Tay and Denny Zhou and Quoc V. Le and Barret Zoph and Jason Wei and Adam Roberts}, + year={2023}, + eprint={2301.13688}, + archivePrefix={arXiv}, + primaryClass={cs.AI} +} +``` diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..f6093c8 --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,7 @@ +{ + "": 2, + "": 1, + "": 0, + "<|im_end|>": 32000, + "<|im_start|>": 32001 +} diff --git a/config.json b/config.json new file mode 100644 index 0000000..e9b13da --- /dev/null +++ b/config.json @@ -0,0 +1,25 @@ +{ + "_name_or_path": "mistralai/Mistral-7B-v0.1", + "architectures": [ + "MistralForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 32768, + "model_type": "mistral", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "rms_norm_eps": 1e-05, + "rope_theta": 10000.0, + "sliding_window": 4096, + 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