Mixtral 8x22B Instruct V0.1 AWQ by MaziyarPanahi

 ยป  All LLMs  ยป  MaziyarPanahi  ยป  Mixtral 8x22B Instruct V0.1 AWQ   URL Share it on

  4-bit   Autotrain compatible   Awq Base model:mistralai/mixtral-8... Base model:quantized:mistralai...   Conversational   Finetuned   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mixtral 8x22B Instruct V0.1 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 8x22B Instruct V0.1 AWQ (MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ)

Mixtral 8x22B Instruct V0.1 AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Quantized by MaziyarPanahi using AWQ method.
LLM NameMixtral 8x22B Instruct V0.1 AWQ
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ 
Model NameMixtral-8x22B-Instruct-v0.1-AWQ
Model Creatormistralai
Base Model(s)  mistralai/Mixtral-8x22B-Instruct-v0.1   mistralai/Mixtral-8x22B-Instruct-v0.1
Model Size19.2b
Required VRAM73.7 GB
Updated2024-12-14
MaintainerMaziyarPanahi
Model Typemixtral
Instruction-BasedYes
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
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Mixtral 8x22B Instruct V0.1 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
... 8x22B Instruct V0.1 GPTQ 4bit64K / 74.1 GB1771
Raccoon Small32K / 38.4 GB861
...oundary Solar Chat 2x10.7B MoE4K / 38 GB1231
SOLAR Math 2x10.7B V0.24K / 38.4 GB12153

Rank the Mixtral 8x22B Instruct V0.1 AWQ Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 39237 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124