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Nous Hermes 2 Mixtral 8x7B DPO 3.7bpw H6 EXL2 Rpcal by intervitens

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Nous Hermes 2 Mixtral 8x7B DPO 3.7bpw H6 EXL2 Rpcal is an open-source language model by intervitens. Features: LLM, VRAM: 21.9GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Chatml   Conversational   Distillation   Dpo   En   Endpoints compatible   Exl2   Finetuned   Gpt4   Instruct   Mixtral   Moe   Quantized   Region:us   Rlhf   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/intervitens/Nous-Hermes-2-Mixtral-8x7B-DPO-3.7bpw-h6-exl2-rpcal 

Nous Hermes 2 Mixtral 8x7B DPO 3.7bpw H6 EXL2 Rpcal Benchmarks

LLME Score: 0.11027
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 3.7bpw H6 EXL2 Rpcal (intervitens/Nous-Hermes-2-Mixtral-8x7B-DPO-3.7bpw-h6-exl2-rpcal)
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Nous Hermes 2 Mixtral 8x7B DPO 3.7bpw H6 EXL2 Rpcal Parameters and Internals

Model Type 
instruct, finetune, chatml, DPO, RLHF, gpt4
Use Cases 
Areas:
research, commercial
Applications:
instruct, conversation
Additional Notes 
Quantized using samples from PIPPA dataset. Special quantization guidance for RP purposes.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
GPT-4 data, open datasets across AI landscape
Data Volume:
1,000,000 entries
Methodology:
SFT + DPO
Model Architecture:
MoE LLM
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
LLM NameNous Hermes 2 Mixtral 8x7B DPO 3.7bpw H6 EXL2 Rpcal
Repository 🤗https://huggingface.co/intervitens/Nous-Hermes-2-Mixtral-8x7B-DPO-3.7bpw-h6-exl2-rpcal 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Required VRAM21.9 GB
Updated2025-09-23
Maintainerintervitens
Model Typemixtral
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
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

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Note: green Score (e.g. "73.2") means that the model is better than intervitens/Nous-Hermes-2-Mixtral-8x7B-DPO-3.7bpw-h6-exl2-rpcal.

Rank the Nous Hermes 2 Mixtral 8x7B DPO 3.7bpw H6 EXL2 Rpcal 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  
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