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ChaoticSoliloquy 4x8B 8bpw H8 EXL2 by JayhC

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  8-bit   Autotrain compatible   Conversational   En   Endpoints compatible   Exl2   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/JayhC/ChaoticSoliloquy-4x8B-8bpw-h8-exl2 

ChaoticSoliloquy 4x8B 8bpw H8 EXL2 Benchmarks

LLME Score: 0.1838
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ChaoticSoliloquy 4x8B 8bpw H8 EXL2 (JayhC/ChaoticSoliloquy-4x8B-8bpw-h8-exl2)

ChaoticSoliloquy 4x8B 8bpw H8 EXL2 Parameters and Internals

Model Type 
moe
Additional Notes 
The model is designed to outperform Mixtral 8x7B in RP/ERP tasks using an MoE architecture.
Supported Languages 
en (full proficiency)
Training Details 
Data Sources:
ChaoticNeutrals_Poppy_Porpoise-v0.6-L3-8B, jeiku_Chaos_RP_l3_8B, openlynn_Llama-3-Soliloquy-8B, Sao10K_L3-Solana-8B-v1
Methodology:
exl2 quantization using default exllamav2 calibration dataset
Model Architecture:
MoE with random gate mode, bfloat16, 2 experts per token
Input Output 
Input Format:
Llama 3
LLM NameChaoticSoliloquy 4x8B 8bpw H8 EXL2
Repository 🤗https://huggingface.co/JayhC/ChaoticSoliloquy-4x8B-8bpw-h8-exl2 
Model Size8b
Required VRAM25.3 GB
Updated2025-02-05
MaintainerJayhC
Model Typemixtral
Model Files  8.5 GB: 1-of-3   8.5 GB: 2-of-3   8.3 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.37.2
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/ChaoticSoliloquy-4x8B-8bpw-h8-exl2.

Rank the ChaoticSoliloquy 4x8B 8bpw H8 EXL2 Capabilities

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Release v20241227
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