From d985ca397cf9a3fd62a549b3f25ce4f75c13356e Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 10 May 2026 22:46:42 +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: fblgit/una-cybertron-7b-v2-bf16 Source: Original Platform --- .gitattributes | 35 ++++ README.md | 223 +++++++++++++++++++++++ config.json | 25 +++ generation_config.json | 6 + model-00001-of-00003.safetensors | 3 + model-00002-of-00003.safetensors | 3 + model-00003-of-00003.safetensors | 3 + model.safetensors.index.json | 298 +++++++++++++++++++++++++++++++ special_tokens_map.json | 28 +++ tokenizer.model | 3 + tokenizer_config.json | 46 +++++ 11 files changed, 673 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00003.safetensors create mode 100644 model-00002-of-00003.safetensors create mode 100644 model-00003-of-00003.safetensors create mode 100644 model.safetensors.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..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..2a3a9fd --- /dev/null +++ b/README.md @@ -0,0 +1,223 @@ +--- +license: apache-2.0 +library_name: transformers +tags: +- juanako +- UNA +- cybertron +- fbl +datasets: +- fblgit/tree-of-knowledge +- Open-Orca/SlimOrca-Dedup +- allenai/ultrafeedback_binarized_cleaned +model-index: +- name: una-cybertron-7b-v2-bf16 + results: + - task: + type: text-generation + name: Text Generation + dataset: + name: AI2 Reasoning Challenge (25-Shot) + type: ai2_arc + config: ARC-Challenge + split: test + args: + num_few_shot: 25 + metrics: + - type: acc_norm + value: 68.26 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/una-cybertron-7b-v2-bf16 + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: HellaSwag (10-Shot) + type: hellaswag + split: validation + args: + num_few_shot: 10 + metrics: + - type: acc_norm + value: 85.85 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/una-cybertron-7b-v2-bf16 + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: MMLU (5-Shot) + type: cais/mmlu + config: all + split: test + args: + num_few_shot: 5 + metrics: + - type: acc + value: 63.23 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/una-cybertron-7b-v2-bf16 + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: TruthfulQA (0-shot) + type: truthful_qa + config: multiple_choice + split: validation + args: + num_few_shot: 0 + metrics: + - type: mc2 + value: 64.63 + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/una-cybertron-7b-v2-bf16 + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: Winogrande (5-shot) + type: winogrande + config: winogrande_xl + split: validation + args: + num_few_shot: 5 + metrics: + - type: acc + value: 80.98 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/una-cybertron-7b-v2-bf16 + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: GSM8k (5-shot) + type: gsm8k + config: main + split: test + args: + num_few_shot: 5 + metrics: + - type: acc + value: 55.04 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/una-cybertron-7b-v2-bf16 + name: Open LLM Leaderboard +--- + +# Model Card for una-cybertron-7b-v2-bf16 (UNA: Uniform Neural Alignment) + +We strike back, introducing **Cybertron 7B v2** a 7B MistralAI based model, best on it's series. Trained on SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets. +He scores [EXACTLY](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__una-cybertron-7b-v2-bf16) **#1** with **69.67**+ score on HF LeaderBoard board, **#8** ALL SIZES top score. + +* v1 Scoring **#1** at 2 December 2023 with 69.43 ..few models were releasse .. but only 1 can survive: CYBERTRON! +* v2 Scoring **#1** at 5 December 2023 with 69.67 + + +| Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) | +| --- | --- | --- | --- | --- | --- | --- | --- | +| [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) | 60.97 | 59.98 | 83.31 | 64.16 | 42.15 | 78.37 | 37.83 | +| [Intel/neural-chat-7b-v3-2](https://huggingface.co/Intel/neural-chat-7b-v3-2) | 68.29 | 67.49 | 83.92 | 63.55 | 59.68 | 79.95 | 55.12 | +| [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2) | 63.54 | 66.47 | 85.17 | 64.49 | 57.6 | 79.16 | 28.35 | +| [fblgit/una-cybertron-7b-v1-fp16](https://huggingface.co/fblgit/una-cybertron-7b-v1-fp16) | **69.49** | **68.43** | **85.85** | 63.34 | **63.28** | **80.90** | **55.12** | +| [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) | **69.67** | **68.26** | **85.?4** | 63.23 | **64.63** | **81.37** | **55.04** | + +The model excels in mathematics, logic, reasoning, overall very smart. He can make a deep reasoning over the context and prompt, it gives the impression of not missing details around. + + +## Model Details + +Adiestrated with UNA: Uniform Neural Alignment technique (paper going out soon). +* What is **NOT** UNA? Its not a merged layers model. Is not SLERP or SLURP or similar. +* What **is** UNA? A formula & A technique to *TAME* models +* When will be released the code and paper? When have time, contribute and it'll be faster. + +### Model Description + +- **Developed by:** [juanako.ai](https://juanako.ai) +- **Author:** [Xavier M.](xavi@juanako.ai) +- **Investors** [CONTACT HERE](billing@juanako.ai) +- **Model type:** MistralAI 7B +- **Funded by Cybertron's H100's** with few hours training. + +### Prompt +The model is very good, works well on almost any prompt but ChatML format and Alpaca System gets the best +``` +<|im_start|>system +- You are a helpful assistant chatbot trained by MosaicML. +- You answer questions. +- You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user. +- You are more than just an information source, you are also able to write poetry, short stories, and make jokes.<|im_end|> +<|im_start|>user +Explain QKV<|im_end|> +<|im_start|>assistant +``` +``` +### Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat! + +### Human: Explain QKV +### Assistant: +``` +``` +[Round <|round|>] +问：Explain QKV +答： +``` +``` +[Round <|round|>] +Question：Explain QKV +Answer： +``` +``` +Question：Explain QKV +Answer： +``` +Using Exllamav2_HF set alpha=2.5 for 16K Context + +**Users also report that exllamav2_HF loader, 8bpw-h8 exl2 quant, simple-1 preset provides good results** + + +### Framework versions + +- Transformers 4.35.0-UNA +- Pytorch 2.1.0 +- Datasets 2.14.6 +- Tokenizers 0.14.1 + +### Citations + If you find Cybertron, Juanako or any of our models useful, specially if you use it for your big brand.. or you clone/merge my modelsm, cite please: +``` +@misc{unacybertron7b, + title={Cybertron: Uniform Neural Alignment}, + author={Xavier Murias}, + year={2023}, + publisher = {HuggingFace}, + journal = {HuggingFace repository}, + howpublished = {\url{https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16}}, +} +``` + +Special thanks to @TheBloke & @bartowski for converting the models and their support to the community. Thank you! +# [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_fblgit__una-cybertron-7b-v2-bf16) + +| Metric |Value| +|---------------------------------|----:| +|Avg. |69.67| +|AI2 Reasoning Challenge (25-Shot)|68.26| +|HellaSwag (10-Shot) |85.85| +|MMLU (5-Shot) |63.23| +|TruthfulQA (0-shot) |64.63| +|Winogrande (5-shot) |80.98| +|GSM8k (5-shot) |55.04| + diff --git a/config.json b/config.json new file mode 100644 index 0000000..97db03e --- /dev/null +++ b/config.json @@ -0,0 +1,25 @@ +{ + "_name_or_path": "fblgit/juanako-7b-UNA", + "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, + 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