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L3 SnowStorm 4x8B 8bpw H8 EXL2 by JayhC

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Model Card on HF 🤗: https://huggingface.co/JayhC/L3_SnowStorm_4x8B-8bpw-h8-exl2 

L3 SnowStorm 4x8B 8bpw H8 EXL2 Benchmarks

LLME Score: 0.19039
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 8bpw H8 EXL2 (JayhC/L3_SnowStorm_4x8B-8bpw-h8-exl2)

L3 SnowStorm 4x8B 8bpw H8 EXL2 Parameters and Internals

Model Type 
MoE (Mixture of Experts)
Training Details 
Data Sources:
ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B, NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS, openlynn/Llama-3-Soliloquy-8B-v2, Sao10K/L3-8B-Stheno-v3.1
Model Architecture:
MoE with random gate mode, using experts per token: 2 with dtype: bfloat16
Input Output 
Input Format:
Llama 3
LLM NameL3 SnowStorm 4x8B 8bpw H8 EXL2
Repository 🤗https://huggingface.co/JayhC/L3_SnowStorm_4x8B-8bpw-h8-exl2 
Model Size8b
Required VRAM25.2 GB
Updated2025-02-05
MaintainerJayhC
Model Typemixtral
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   8.1 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-8bpw-h8-exl2.

Rank the L3 SnowStorm 4x8B 8bpw H8 EXL2 Capabilities

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Release v20241227
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