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CognitiveFusion 4x7b MoE EXL2 3.5BPW by SytanSD

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Model Card on HF 🤗: https://huggingface.co/SytanSD/CognitiveFusion_4x7b_MoE_Exl2_3.5BPW 

CognitiveFusion 4x7b MoE EXL2 3.5BPW Benchmarks

LLME Score: 0.18315
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 (SytanSD/CognitiveFusion_4x7b_MoE_Exl2_3.5BPW)

CognitiveFusion 4x7b MoE EXL2 3.5BPW Parameters and Internals

Additional Notes 
The model is available in different BPW quants, including 8.0BPW and 3.5BPW, with plans for additional quants.
Supported Languages 
en (native)
LLM NameCognitiveFusion 4x7b MoE EXL2 3.5BPW
Repository 🤗https://huggingface.co/SytanSD/CognitiveFusion_4x7b_MoE_Exl2_3.5BPW 
Model Size7b
Required VRAM10.8 GB
Updated2024-12-22
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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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