LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

DPOpenHermes 7B V2 GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  DPOpenHermes 7B V2 GGUF   URL Share it on

  410   
Base model:openaccess-ai-colle... Base model:quantized:openacces...   Conversational Dataset:allenai/ultrafeedback ...   Dataset:intel/orca dpo pairs   Dataset:teknium/openhermes   En   Gguf   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/DPOpenHermes-7B-v2-GGUF 

DPOpenHermes 7B V2 GGUF Benchmarks

LLME Score: 0.12841
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DPOpenHermes 7B V2 GGUF (TheBloke/DPOpenHermes-7B-v2-GGUF)
🌟 Advertise your project 🚀

DPOpenHermes 7B V2 GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
DPOpenHermes uses ChatML, a prompt format enabling structured interaction over multiple turns, making it compatible with OpenAI endpoints.
Supported Languages 
en (English)
Training Details 
Data Sources:
teknium/openhermes, allenai/ultrafeedback_binarized_cleaned, Intel/orca_dpo_pairs
Methodology:
This is a second RL fine-tuned model using Intel/orca_dpo_pairs and allenai/ultrafeedback_binarized_cleaned preference datasets for reinforcement learning using Direct Preference Optimization (DPO). Trained using 16-bit LoRA.
Training Time:
~13 hours for 1.0 epochs of the dataset.
Hardware Used:
single H100 80GB hosted on RunPod
Model Architecture:
Based on OpenHermes-2.5-Mistral-7B
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
LLM NameDPOpenHermes 7B V2 GGUF
Repository 🤗https://huggingface.co/TheBloke/DPOpenHermes-7B-v2-GGUF 
Model NameDPOpenHermes 7B v2
Model CreatorOpen Access AI Collective
Base Model(s)  DPOpenHermes 7B V2   openaccess-ai-collective/DPOpenHermes-7B-v2
Model Size7b
Required VRAM3.1 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

Best Alternatives to DPOpenHermes 7B V2 GGUF

Best Alternatives
Context / RAM
Downloads
Likes
Pixel8K / 4.4 GB170
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB121474117
Conversely Mistral 7B0K / 0.2 GB1480
Qwen2 7B Instruct GGUF0K / 1.9 GB9221811
WizardLM 2 7B GGUF0K / 2.7 GB9301282
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB179733603
CleverBoi 7B V20K / 0.1 GB1670
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB55713465
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB560
Deepthink Reasoning 7B GGUF0K / 4.7 GB4105
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/DPOpenHermes-7B-v2-GGUF.

Rank the DPOpenHermes 7B V2 GGUF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 51545 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer