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CognitiveFusion 4x7b MoE EXL2 3.5BPW by SytanSD

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CognitiveFusion 4x7b MoE EXL2 3.5BPW Benchmarks

LLME Score: 0.2067
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CognitiveFusion 4x7b MoE EXL2 3.5BPW Parameters and Internals

LLM NameCognitiveFusion 4x7b MoE EXL2 3.5BPW
Repository 🤗https://huggingface.co/SytanSD/CognitiveFusion_4x7b_MoE_Exl2_3.5BPW 
Model Size7b
Required VRAM10.8 GB
Updated2024-09-07
MaintainerSytanSD
Model Typemixtral
Model Files  8.6 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
CognitiveFusion 4x7b MoE EXL2 3.5BPW (SytanSD/CognitiveFusion_4x7b_MoE_Exl2_3.5BPW)

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Note: green Score (e.g. "73.2") means that the model is better than SytanSD/CognitiveFusion_4x7b_MoE_Exl2_3.5BPW.

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Release v2024072803
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