Nous Hermes 2 Mixtral 8x7B SFT 6.0bpw H6 EXL2 by LoneStriker

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Nous Hermes 2 Mixtral 8x7B SFT 6.0bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Hermes 2 Mixtral 8x7B SFT 6.0bpw H6 EXL2 (LoneStriker/Nous-Hermes-2-Mixtral-8x7B-SFT-6.0bpw-h6-exl2)

Nous Hermes 2 Mixtral 8x7B SFT 6.0bpw H6 EXL2 Parameters and Internals

Model Type 
finetune
Additional Notes 
This model includes supervised fine-tuning, DPO for enhanced performance, and synthetic data distillation.
Supported Languages 
en (primary)
Training Details 
Data Volume:
over 1,000,000 entries
Methodology:
supervised fine-tuning
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
structured system for multi-turn chat dialogue
LLM NameNous Hermes 2 Mixtral 8x7B SFT 6.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Nous-Hermes-2-Mixtral-8x7B-SFT-6.0bpw-h6-exl2 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Required VRAM35.3 GB
Updated2024-12-26
MaintainerLoneStriker
Model Typemixtral
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.6 GB: 4-of-5   0.9 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Nous-Hermes-2-Mixtral-8x7B-SFT-6.0bpw-h6-exl2.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227