Dart Math Mistral 7B Prop2diff by hkust-nlp

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  Arxiv:2403.02884   Arxiv:2403.04706   Arxiv:2407.13690   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Dataset:hkust-nlp/dart-math-ha...   En   Endpoints compatible   Mathematics   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Dart Math Mistral 7B Prop2diff Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Dart Math Mistral 7B Prop2diff Parameters and Internals

Model Type 
text-generation
Additional Notes 
The models use the Alpaca prompt template and standard instruction tuning on synthetic datasets.
Training Details 
Data Sources:
hkust-nlp/dart-math-hard, hkust-nlp/dart-math-uniform
Methodology:
Difficulty-Aware Rejection Sampling
Context Length:
4096
Hardware Used:
8 A100 GPUs
LLM NameDart Math Mistral 7B Prop2diff
Repository ๐Ÿค—https://huggingface.co/hkust-nlp/dart-math-mistral-7b-prop2diff 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-12-04
Maintainerhkust-nlp
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32064
Torch Data Typebfloat16
Dart Math Mistral 7B Prop2diff (hkust-nlp/dart-math-mistral-7b-prop2diff)

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Note: green Score (e.g. "73.2") means that the model is better than hkust-nlp/dart-math-mistral-7b-prop2diff.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124