Mixtral 7Bx2 MoE AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Mixtral 7Bx2 MoE AWQ   URL Share it on

Mixtral 7Bx2 MoE AWQ is an open-source language model by TheBloke. Features: 12.9b LLM, VRAM: 7.1GB, Context: 32K, License: cc-by-nc-4.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:cloudyu/mixtral 7bx... Base model:quantized:cloudyu/m...   Mixtral   Moe   Quantized   Region:us   Safetensors

Mixtral 7Bx2 MoE AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 7Bx2 MoE AWQ Parameters and Internals

Model Type 
mixtral
LLM NameMixtral 7Bx2 MoE AWQ
Repository 🤗https://huggingface.co/TheBloke/Mixtral_7Bx2_MoE-AWQ 
Model NameMixtral 7Bx2 MoE
Model Creatorhai
Base Model(s)  Mixtral 7Bx2 MoE   cloudyu/Mixtral_7Bx2_MoE
Model Size12.9b
Required VRAM7.1 GB
Updated2026-05-06
MaintainerTheBloke
Model Typemixtral
Model Files  7.1 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mixtral 7Bx2 MoE AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...r Dolphin Mixtral 2x7b DPO AWQ32K / 7.1 GB61
...Grc FusionNet 7Bx2 MoE 13B AWQ32K / 7.1 GB123
MixTAO 7Bx2 MoE V8.1 AWQ32K / 7.1 GB31
Blue Orchid 2x7b AWQ8K / 7.1 GB71
MixTAO 7Bx2 MoE V8.132K / 25.8 GB1986755
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB60
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB101
MixTAO 7Bx2 MoE V8.132K / 25.8 GB876052
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB828110
MultiMash8 13B Slerp32K / 25.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral_7Bx2_MoE-AWQ.

Rank the Mixtral 7Bx2 MoE 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? 53999 in total.

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