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Nous Hermes 2 Mixtral 8x7B DPO by NousResearch

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Nous Hermes 2 Mixtral 8x7B DPO is an open-source language model by NousResearch. Features: 46.7b LLM, VRAM: 93.6GB, Context: 32K, License: apache-2.0, MoE, HF Score: 73.1, LLM Explorer Score: 0.36, ELO: 1099, Arc: 71.4, HellaSwag: 87.2, MMLU: 72.3, TruthfulQA: 54.5, WinoGrande: 82.6, GSM8K: 70.7.

  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Chatml   Conversational   Dataset:teknium/openhermes-2.5   Distillation   Dpo   En   Endpoints compatible   Finetuned   Gpt4   Instruct   Mixtral   Moe   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO 

Nous Hermes 2 Mixtral 8x7B DPO Benchmarks

LMSys ELO: 1099 vs 1272 (so35)-13.6%
MMLU Pro: 29.62
GPQA: 9.51
MUSR: 16.68
BBH: 37.11
IFEval: 58.97 vs 88 (so35)-33%
ARC: 71.42 vs 96.7 (so35)-26.1%
HellaSwag: 87.21 vs 95.3 (gpt4)-8.5%
MMLU: 72.28 vs 88.3 (so35)-18.1%
TruthfulQA: 54.53 vs 59 (gpt4)-7.6%
WinoGrande: 82.64 vs 87.5 (gpt4)-5.6%
GSM8K: 70.66 vs 96.4 (so35)-26.7%
MATH Lvl 5: 12.24
LLME Score: 0.36208
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 (NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO)
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Nous Hermes 2 Mixtral 8x7B DPO Parameters and Internals

Model Type 
instruct, finetune, chatml, DPO, RLHF, gpt4, synthetic data, distillation
Additional Notes 
Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model.
Supported Languages 
en (English)
Training Details 
Data Sources:
teknium/OpenHermes-2.5
Data Volume:
1,000,000 entries
Methodology:
SFT + DPO
Model Architecture:
Mixtral 8x7B MoE LLM
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
LLM NameNous Hermes 2 Mixtral 8x7B DPO
Repository 🤗https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Model Size46.7b
Required VRAM93.6 GB
Updated2025-11-15
MaintainerNousResearch
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Nous Hermes 2 Mixtral 8x7B DPO

Model
Likes
Downloads
VRAM
...Horizon AI Korean Advanced 56B18893 GB
...Hermes 2 Mixtral 8x7B DPO GGUF67169517 GB
...Hermes 2 Mixtral 8x7B DPO GGUF2122917 GB
...Hermes 2 Mixtral 8x7B DPO GPTQ266923 GB
... Hermes 2 Mixtral 8x7B DPO AWQ226124 GB
...Hermes 2 Mixtral 8x7B DPO GPTQ1424 GB

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Mixtral 8x7B Instruct V0.132K / 93.6 GB6477384643
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Sensualize Mixtral Bf1632K / 93.6 GB00
Skadi Mixtral V132K / 93.5 GB00
Franziska Mixtral V132K / 93.5 GB00
Typhon Mixtral V132K / 93.4 GB00
GritLM 8x7B KTO32K / 93.6 GB82893
Smaug Mixtral V0.132K / 187.7 GB854812
XLAM 8x7b R32K / 93.6 GB6870815
NatureLM 8x7B32K / 0.3 GB8620
Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO.

Rank the Nous Hermes 2 Mixtral 8x7B DPO Capabilities

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