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Snorkel Mistral PairRM DPO 8.0bpw H8 EXL2 by LoneStriker

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  Arxiv:2305.18290   Arxiv:2306.02561   Arxiv:2401.10020   Autotrain compatible   Conversational Dataset:snorkelai/snorkel-mist...   Endpoints compatible   Exl2   Mistral   Pytorch   Quantized   Region:us

Snorkel Mistral PairRM DPO 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.18093
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Snorkel Mistral PairRM DPO 8.0bpw H8 EXL2 Parameters and Internals

LLM NameSnorkel Mistral PairRM DPO 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Snorkel-Mistral-PairRM-DPO-8.0bpw-h8-exl2 
Required VRAM7.4 GB
Updated2024-10-18
MaintainerLoneStriker
Model Typemistral
Model Files  7.4 GB   0.0 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Snorkel Mistral PairRM DPO 8.0bpw H8 EXL2 (LoneStriker/Snorkel-Mistral-PairRM-DPO-8.0bpw-h8-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Snorkel-Mistral-PairRM-DPO-8.0bpw-h8-exl2.

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Release v2024072803
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