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Nous Hermes 2 Mixtral 8x7B DPO 4bit by mlx-community

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  4bit Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Chatml   Distillation   Dpo   En   Finetuned   Gpt4   Instruct   Mixtral   Mlx   Moe   Quantized   Region:us   Rlhf   Synthetic data
Model Card on HF 🤗: https://huggingface.co/mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit 

Nous Hermes 2 Mixtral 8x7B DPO 4bit Benchmarks

LLME Score: 0.16285
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 DPO 4bit (mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit)

Nous Hermes 2 Mixtral 8x7B DPO 4bit Parameters and Internals

Model Type 
text generation, instruction following
Additional Notes 
Converted to MLX format.
LLM NameNous Hermes 2 Mixtral 8x7B DPO 4bit
Repository 🤗https://huggingface.co/mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Required VRAM10.6 GB
Updated2025-02-05
Maintainermlx-community
Model Typemixtral
Model Files  16.1 GB   10.6 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
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 mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit.

Rank the Nous Hermes 2 Mixtral 8x7B DPO 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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