commit dac6986a46308c2ae8fee45c0a064870699e0d54 Author: ModelHub XC Date: Thu May 28 12:02:15 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: teknium/CollectiveCognition-v1.1-Mistral-7B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a8f815d --- /dev/null +++ b/.gitattributes @@ -0,0 +1,52 @@ +*.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-00002-of-00002.bin filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text +pytorch_model-00001-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..4a7f4ef --- /dev/null +++ b/README.md @@ -0,0 +1,129 @@ +--- +base_model: mistralai/Mistral-7B-v0.1 +tags: +- mistral-7b +- instruct +- finetune +- gpt4 +- synthetic data +- distillation +- sharegpt +datasets: +- CollectiveCognition/chats-data-2023-09-27 +model-index: +- name: CollectiveCognition-v1-Mistral-7B + results: [] +license: apache-2.0 +language: +- en +--- + +**Collective Cognition v1.1 - Mistral 7B** +
+ + Collective Cognition Logo + +
+ +## Model Description: + +Collective Cognition v1.1 is a state-of-the-art model fine-tuned using the Mistral approach. This model is particularly notable for its performance, outperforming many 70B models on the TruthfulQA benchmark. This benchmark assesses models for common misconceptions, potentially indicating hallucination rates. + +## Special Features: +- **Quick Training**: This model was trained in just 3 minutes on a single 4090 with a qlora, and competes with 70B scale Llama-2 Models at TruthfulQA. +- **Limited Data**: Despite its exceptional performance, it was trained on only ONE HUNDRED data points, all of which were gathered from a platform reminiscent of ShareGPT. +- **Extreme TruthfulQA Benchmark**: This model is competing strongly with top 70B models on the TruthfulQA benchmark despite the small dataset and qlora training! + +![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/-pnifxPcMeeUONyE3efo3.png) + +## Acknowledgements: + +Special thanks to @a16z and all contributors to the Collective Cognition dataset for making the development of this model possible. + +## Dataset: + +The model was trained using data from the Collective Cognition website. The efficacy of this dataset is demonstrated by the model's stellar performance, suggesting that further expansion of this dataset could yield even more promising results. The data is reminiscent of that collected from platforms like ShareGPT. + +You can contribute to the growth of the dataset by sharing your own ChatGPT chats [here](https://CollectiveCognition.ai). + +You can download the datasets created by Collective Cognition here: https://huggingface.co/CollectiveCognition + +## Performance: + +- **TruthfulQA**: Collective Cognition v1.1 has notably outperformed various 70B models on the TruthfulQA benchmark, highlighting its ability to understand and rectify common misconceptions. + + +## Usage: + +Prompt Format: +``` +USER: +ASSISTANT: +``` +OR +``` + +USER: +ASSISTANT: +``` + +## Benchmarks: + +Collective Cognition v1.0 TruthfulQA: +``` +| Task |Version|Metric|Value | |Stderr| +|-------------|------:|------|-----:|---|-----:| +|truthfulqa_mc| 1|mc1 |0.4051|± |0.0172| +| | |mc2 |0.5738|± |0.0157| +``` + +Collective Cognition v1.1 GPT4All: +``` +| Task |Version| Metric |Value | |Stderr| +|-------------|------:|--------|-----:|---|-----:| +|arc_challenge| 0|acc |0.5085|± |0.0146| +| | |acc_norm|0.5384|± |0.0146| +|arc_easy | 0|acc |0.7963|± |0.0083| +| | |acc_norm|0.7668|± |0.0087| +|boolq | 1|acc |0.8495|± |0.0063| +|hellaswag | 0|acc |0.6399|± |0.0048| +| | |acc_norm|0.8247|± |0.0038| +|openbookqa | 0|acc |0.3240|± |0.0210| +| | |acc_norm|0.4540|± |0.0223| +|piqa | 0|acc |0.7992|± |0.0093| +| | |acc_norm|0.8107|± |0.0091| +|winogrande | 0|acc |0.7348|± |0.0124| +Average: 71.13 +``` + +AGIEval: +``` +| Task |Version| Metric |Value | |Stderr| +|------------------------------|------:|--------|-----:|---|-----:| +|agieval_aqua_rat | 0|acc |0.1929|± |0.0248| +| | |acc_norm|0.2008|± |0.0252| +|agieval_logiqa_en | 0|acc |0.3134|± |0.0182| +| | |acc_norm|0.3333|± |0.0185| +|agieval_lsat_ar | 0|acc |0.2217|± |0.0275| +| | |acc_norm|0.2043|± |0.0266| +|agieval_lsat_lr | 0|acc |0.3412|± |0.0210| +| | |acc_norm|0.3216|± |0.0207| +|agieval_lsat_rc | 0|acc |0.4721|± |0.0305| +| | |acc_norm|0.4201|± |0.0301| +|agieval_sat_en | 0|acc |0.6068|± |0.0341| +| | |acc_norm|0.5777|± |0.0345| +|agieval_sat_en_without_passage| 0|acc |0.3932|± |0.0341| +| | |acc_norm|0.3641|± |0.0336| +|agieval_sat_math | 0|acc |0.2864|± |0.0305| +| | |acc_norm|0.2636|± |0.0298| +Average: 33.57 +``` + +Training run on wandb here: https://wandb.ai/teknium1/collectivecognition-mistral-7b/runs/collectivecognition-mistral-8/workspace + +## Licensing: + +Apache 2.0 + +--- + diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..cbce74e --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,5 @@ +{ + "": 2, + "": 1, + "": 0 +} diff --git a/config.json b/config.json new file mode 100644 index 0000000..b66e258 --- /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, + 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