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Nous Hermes 2 Mixtral 8x7B DPO GPTQ by MaziyarPanahi

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Nous Hermes 2 Mixtral 8x7B DPO GPTQ is an open-source language model by MaziyarPanahi. Features: 6.5b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit   Autotrain compatible Base model:finetune:nousresear... Base model:mistralai/mixtral-8... Base model:nousresearch/nous-h...   Chatml   Conversational   Distillation   Dpo   En   Endpoints compatible   Finetuned   Gpt4   Gptq   Has space   Instruct   Mixtral   Moe   Quantized   Region:us   Rlhf   Safetensors   Synthetic data
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ 

Nous Hermes 2 Mixtral 8x7B DPO GPTQ Benchmarks

LLME Score: 0.11188
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 GPTQ (MaziyarPanahi/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ)
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Nous Hermes 2 Mixtral 8x7B DPO GPTQ Parameters and Internals

Model Type 
text-generation
LLM NameNous Hermes 2 Mixtral 8x7B DPO GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ 
Model NameNous-Hermes-2-Mixtral-8x7B-DPO-GPTQ
Model CreatorNousResearch
Base Model(s)  Nous Hermes 2 Mixtral 8x7B DPO   NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
Model Size6.5b
Required VRAM24.7 GB
Updated2026-05-05
MaintainerMaziyarPanahi
Model Typemixtral
Model Files  24.7 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ.

Rank the Nous Hermes 2 Mixtral 8x7B DPO GPTQ Capabilities

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

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