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

Mixtral 8x22B V0.1 AWQ by mistral-community

 »  All LLMs  »  mistral-community  »  Mixtral 8x22B V0.1 AWQ   URL Share it on

  358   

Mixtral 8x22B V0.1 AWQ is an open-source language model by mistral-community. Features: 140.6b LLM, VRAM: 73.7GB, Context: 64K, MoE, Quantized, LLM Explorer Score: 0.13.

  4-bit   Autotrain compatible   Awq Base model:quantized:v2ray/mix... Base model:v2ray/mixtral-8x22b...   De   Deploy:azure   En   Endpoints compatible   Es   Fr   It   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1-AWQ 

Mixtral 8x22B V0.1 AWQ Benchmarks

LLME Score: 0.13289
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x22B V0.1 AWQ (mistral-community/Mixtral-8x22B-v0.1-AWQ)
🌟 Advertise your project 🚀

Mixtral 8x22B V0.1 AWQ Parameters and Internals

Model Type 
text-generation, quantized
Additional Notes 
The model supports inference via quantized (AWQ) format. The quantization was performed by MaziyarPanahi to allow more efficient inference.
Supported Languages 
en (high), es (high), de (high), it (high), fr (high)
Training Details 
Context Length:
65000
Model Architecture:
176B MoE with ~40B active
Input Output 
Accepted Modalities:
text
LLM NameMixtral 8x22B V0.1 AWQ
Repository 🤗https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1-AWQ 
Model NameMixtral-8x22B-v0.1-AWQ
Model Creatorv2ray
Base Model(s)  v2ray/Mixtral-8x22B-v0.1   v2ray/Mixtral-8x22B-v0.1
Model Size140.6b
Required VRAM73.7 GB
Updated2026-04-20
Maintainermistral-community
Model Typemixtral
Model Files  5.0 GB: 1-of-15   5.0 GB: 2-of-15   5.0 GB: 3-of-15   5.0 GB: 4-of-15   5.0 GB: 5-of-15   5.0 GB: 6-of-15   5.0 GB: 7-of-15   5.0 GB: 8-of-15   5.0 GB: 9-of-15   5.0 GB: 10-of-15   5.0 GB: 11-of-15   5.0 GB: 12-of-15   5.0 GB: 13-of-15   5.0 GB: 14-of-15   3.7 GB: 15-of-15
Supported Languagesen es de it fr
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mixtral 8x22B V0.1 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...olphin 2.9.2 Mixtral 8x22b AWQ64K / 73.7 GB1050
...ixtral 8x22B Instruct V0.1 AWQ64K / 73.7 GB39813
WizardLM 2 8x22B AWQ64K / 73.7 GB1213
Karasu Mixtral 8x22B V0.1 AWQ64K / 73.7 GB167
Zephyr Orpo 141B A35b V0.1 AWQ64K / 73.7 GB93
Mixtral 8x22B Instruct V0.164K / 221.4 GB27071748
Zephyr Orpo 141B A35b V0.164K / 207.2 GB89269
WizardLM 2 8x22B64K / 216.8 GB9545411
Mixtral 8x22B V0.164K / 221.6 GB3642237
Mixtral 8x22B V0.164K / 212 GB319671
Note: green Score (e.g. "73.2") means that the model is better than mistral-community/Mixtral-8x22B-v0.1-AWQ.

Rank the Mixtral 8x22B V0.1 AWQ 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