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 Instruct AWQ by casperhansen

 »  All LLMs  »  casperhansen  »  Mixtral Instruct AWQ   URL Share it on

  620   

Mixtral Instruct AWQ is an open-source language model by casperhansen. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4-bit   Awq   Conversational   Deploy:azure   Endpoints compatible   Instruct   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/casperhansen/mixtral-instruct-awq 

Mixtral Instruct AWQ Benchmarks

LLME Score: 0.12051
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral Instruct AWQ (casperhansen/mixtral-instruct-awq)
🌟 Advertise your project 🚀

Mixtral Instruct AWQ Parameters and Internals

Additional Notes 
This is a working version of Mixtral Instruct that is AWQ quantized. The repository is suggested for use as of 11-02-2024, due to another version not working.
LLM NameMixtral Instruct AWQ
Repository 🤗https://huggingface.co/casperhansen/mixtral-instruct-awq 
Model Size46.7b
Required VRAM24.7 GB
Updated2026-03-17
Maintainercasperhansen
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mixtral Instruct AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Dolphin 2.7 Mixtral 8x7b AWQ32K / 24.7 GB380723
Mixtral 8x7B Instruct V0.1 AWQ32K / 24.7 GB50
...ixtral Instruct 8x7b Zloss AWQ32K / 24.7 GB82
...0.1 LimaRP ZLoss DARE TIES AWQ32K / 24.7 GB123
Dolphin 2.6 Mixtral 8x7b AWQ32K / 24.7 GB10312
...utLM Mixtral 8x7B Instruct AWQ32K / 24.7 GB192
...1 Mixtral 8x7b Instruct V3 AWQ32K / 24.7 GB81
...Mixtral 8x7B V0.1 Dolly15K AWQ32K / 24.7 GB91
Mixtral 8x7B Instruct V0.132K / 93.6 GB6183864670
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB46710
Note: green Score (e.g. "73.2") means that the model is better than casperhansen/mixtral-instruct-awq.

Rank the Mixtral Instruct 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? 53089 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