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

Zephyr Orpo 141B A35b V0.1 by HuggingFaceH4

 »  All LLMs  »  HuggingFaceH4  »  Zephyr Orpo 141B A35b V0.1   URL Share it on

  89   

Zephyr Orpo 141B A35b V0.1 is an open-source language model by HuggingFaceH4. Features: 140.6b LLM, VRAM: 207.2GB, Context: 64K, License: apache-2.0, MoE, LLM Explorer Score: 0.36, ELO: 1212.

  Arxiv:2311.07911   Arxiv:2403.07691 Base model:finetune:mistral-co... Base model:mistral-community/m...   Conversational Dataset:argilla/distilabel-cap...   Endpoints compatible   Generated from trainer   Mixtral   Moe   Orpo   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 

Zephyr Orpo 141B A35b V0.1 Benchmarks

LMSys ELO: 1212 vs 1272 (so35)-4.7%
LLME Score: 0.36149
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Orpo 141B A35b V0.1 (HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1)
🌟 Advertise your project 🚀

Zephyr Orpo 141B A35b V0.1 Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
The model can produce problematic outputs as it has not been aligned to human preferences for safety.
Supported Languages 
English (Primary)
Training Details 
Data Sources:
argilla/distilabel-capybara-dpo-7k-binarized
Data Volume:
7k instances
Methodology:
Odds Ratio Preference Optimization (ORPO)
Training Time:
1.3 hours
Hardware Used:
4 nodes of 8 x H100s
LLM NameZephyr Orpo 141B A35b V0.1
Repository 🤗https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 
Base Model(s)  mistral-community/Mixtral-8x22B-v0.1   mistral-community/Mixtral-8x22B-v0.1
Model Size140.6b
Required VRAM207.2 GB
Updated2026-05-18
MaintainerHuggingFaceH4
Model Typemixtral
Model Files  5.0 GB: 1-of-59   4.8 GB: 2-of-59   4.8 GB: 3-of-59   4.8 GB: 4-of-59   4.8 GB: 5-of-59   4.8 GB: 6-of-59   4.8 GB: 7-of-59   4.8 GB: 8-of-59   4.8 GB: 9-of-59   4.8 GB: 10-of-59   4.8 GB: 11-of-59   4.8 GB: 12-of-59   4.8 GB: 13-of-59   4.8 GB: 14-of-59   4.8 GB: 15-of-59   4.8 GB: 16-of-59   4.8 GB: 17-of-59   4.8 GB: 18-of-59   4.8 GB: 19-of-59   4.8 GB: 20-of-59   4.8 GB: 21-of-59   4.8 GB: 22-of-59   4.8 GB: 23-of-59   4.9 GB: 24-of-59   5.0 GB: 25-of-59   5.0 GB: 26-of-59   4.9 GB: 27-of-59   4.8 GB: 28-of-59   4.8 GB: 29-of-59   4.8 GB: 30-of-59   4.8 GB: 31-of-59   4.8 GB: 32-of-59   4.8 GB: 33-of-59   4.8 GB: 34-of-59   4.8 GB: 35-of-59   4.8 GB: 36-of-59   4.8 GB: 37-of-59   4.8 GB: 38-of-59   4.8 GB: 39-of-59   4.8 GB: 40-of-59   4.8 GB: 41-of-59   4.8 GB: 42-of-59   4.8 GB: 43-of-59
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Zephyr Orpo 141B A35b V0.1

Model
Likes
Downloads
VRAM
Zephyr Orpo 141B A35b V0.1 AWQ3973 GB

Best Alternatives to Zephyr Orpo 141B A35b V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x22B Instruct V0.164K / 221.4 GB27071748
WizardLM 2 8x22B64K / 216.8 GB9545411
Mixtral 8x22B V0.164K / 221.6 GB3642237
Mixtral 8x22B V0.164K / 212 GB319671
Mixtral 8x22B V0.364K / 221.4 GB203
...ixtral 8x22B Instruct V0.1 FP864K / 140.9 GB10930
XLAM 8x22b R64K / 211.8 GB1202645
Dolphin 2.9.2 Mixtral 8x22b64K / 207.2 GB931140
Dolphin 2.9.2 Mixtral 8x22b64K / 207.2 GB815943
...igHuggyD Grey WizardLM 2 8x22B64K / 216.6 GB144
Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1.

Rank the Zephyr Orpo 141B A35b V0.1 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? 53885 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.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer