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Mistral7B PairRM SPPO Iter2 by UCLA-AGI

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  4859   
  Arxiv:2405.00675   Autotrain compatible   Conversational   Dataset:openbmb/ultrafeedback   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral7B PairRM SPPO Iter2 Benchmarks

MMLU Pro: 18.63
GPQA: 5.15
MUSR: 9.8
BBH: 22.48
IFEval: 44.46 vs 88 (so35)-49.5%
MATH Lvl 5: 1.51
LLME Score: 0.3214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral7B PairRM SPPO Iter2 Parameters and Internals

LLM NameMistral7B PairRM SPPO Iter2
Repository 🤗https://huggingface.co/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-09-16
MaintainerUCLA-AGI
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 Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Mistral7B PairRM SPPO Iter2 (UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2)

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Release v2024072803
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