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Laser Dolphin Mixtral 2x7b DPO 6.0bpw H6 EXL2 by LoneStriker

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  Arxiv:2312.13558   Autotrain compatible   Endpoints compatible   Exl2   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Laser Dolphin Mixtral 2x7b DPO 6.0bpw H6 EXL2 Benchmarks

LLME Score: 0.17809
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Laser Dolphin Mixtral 2x7b DPO 6.0bpw H6 EXL2 Parameters and Internals

LLM NameLaser Dolphin Mixtral 2x7b DPO 6.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/laser-dolphin-mixtral-2x7b-dpo-6.0bpw-h6-exl2 
Model Size7b
Required VRAM9.8 GB
Updated2024-10-17
MaintainerLoneStriker
Model Typemixtral
Model Files  8.5 GB: 1-of-2   1.3 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32001
Torch Data Typebfloat16
Laser Dolphin Mixtral 2x7b DPO 6.0bpw H6 EXL2 (LoneStriker/laser-dolphin-mixtral-2x7b-dpo-6.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/laser-dolphin-mixtral-2x7b-dpo-6.0bpw-h6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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