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Dolphin 2.7 Mixtral 8x7b 8bpw EXL2 by Kearm

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Dolphin 2.7 Mixtral 8x7b 8bpw EXL2 Benchmarks

LLME Score: 0.20192
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolphin 2.7 Mixtral 8x7b 8bpw EXL2 Parameters and Internals

LLM NameDolphin 2.7 Mixtral 8x7b 8bpw EXL2
Repository 🤗https://huggingface.co/Kearm/dolphin-2.7-mixtral-8x7b-8bpw-exl2 
Required VRAM46.8 GB
Updated2024-09-16
MaintainerKearm
Model Typemixtral
Instruction-BasedYes
Model Files  8.6 GB: 1-of-6   8.6 GB: 2-of-6   8.6 GB: 3-of-6   8.6 GB: 4-of-6   8.6 GB: 5-of-6   3.8 GB: 6-of-6
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16
Dolphin 2.7 Mixtral 8x7b 8bpw EXL2 (Kearm/dolphin-2.7-mixtral-8x7b-8bpw-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than Kearm/dolphin-2.7-mixtral-8x7b-8bpw-exl2.

Rank the Dolphin 2.7 Mixtral 8x7b 8bpw EXL2 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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