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L3 SnowStorm 4x8B 6.5bpw H8 EXL2 by JayhC

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  Autotrain compatible   Conversational   En   Endpoints compatible   Exl2   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/JayhC/L3_SnowStorm_4x8B-6.5bpw-h8-exl2 

L3 SnowStorm 4x8B 6.5bpw H8 EXL2 Benchmarks

LLME Score: 0.15591
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 SnowStorm 4x8B 6.5bpw H8 EXL2 (JayhC/L3_SnowStorm_4x8B-6.5bpw-h8-exl2)
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L3 SnowStorm 4x8B 6.5bpw H8 EXL2 Parameters and Internals

Model Type 
moe
Additional Notes 
Quantization using exllamav2 0.0.21 and default calibration dataset. Aimed at RP/ERP tasks with a goal to outperform Mixtral 8x7B.
LLM NameL3 SnowStorm 4x8B 6.5bpw H8 EXL2
Repository 🤗https://huggingface.co/JayhC/L3_SnowStorm_4x8B-6.5bpw-h8-exl2 
Model Size8b
Required VRAM21 GB
Updated2025-09-23
MaintainerJayhC
Model Typemixtral
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   3.8 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than JayhC/L3_SnowStorm_4x8B-6.5bpw-h8-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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