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Nous Hermes 2 Mixtral 8x7B DPO AWQ by TheBloke

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Nous Hermes 2 Mixtral 8x7B DPO AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.12.

  4-bit   Awq Base model:nousresearch/nous-h... Base model:quantized:nousresea...   Chatml   Conversational   Distillation   Dpo   En   Finetuned   Gpt4   Instruct   Mixtral   Moe   Quantized   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-AWQ 

Nous Hermes 2 Mixtral 8x7B DPO AWQ Benchmarks

LLME Score: 0.11566
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 AWQ (TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-AWQ)
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Nous Hermes 2 Mixtral 8x7B DPO AWQ Parameters and Internals

Model Type 
mixtral, instruct, finetune, chatml, DPO, RLHF, gpt4, synthetic data, distillation
Additional Notes 
Not compatible with macOS for AWQ, use GGUF for macOS.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
GPT-4 generated data, other high quality data from open datasets
Data Volume:
1 million entries
Methodology:
SFT+DPO
Context Length:
8192
Model Architecture:
Mixtral 8x7B MoE LLM
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
formatted text
Performance Tips:
Use AutoAWQ v0.1.8 or later for best performance.
LLM NameNous Hermes 2 Mixtral 8x7B DPO AWQ
Repository 🤗https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-AWQ 
Model NameNous Hermes 2 Mixtral 8X7B DPO
Model CreatorNousResearch
Base Model(s)  Nous Hermes 2 Mixtral 8x7B DPO   NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
Model Size46.7b
Required VRAM24.7 GB
Updated2026-04-21
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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 TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-AWQ.

Rank the Nous Hermes 2 Mixtral 8x7B DPO AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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