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Mistral 22B V0.1 AWQ by solidrust

 »  All LLMs  »  solidrust  »  Mistral 22B V0.1 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:quantized:vezora/mi... Base model:vezora/mistral-22b-...   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Mistral-22B-v0.1-AWQ 

Mistral 22B V0.1 AWQ Benchmarks

LLME Score: 0.1622
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mistral 22B V0.1 AWQ Parameters and Internals

Model Type 
mistral, text-generation
Supported Languages 
en (proficient)
Input Output 
Input Format:
GUANACO PROMPT FORMAT
LLM NameMistral 22B V0.1 AWQ
Repository 🤗https://huggingface.co/solidrust/Mistral-22B-v0.1-AWQ 
Model NameMistral-22B-v0.1
Model CreatorVezora
Base Model(s)  Vezora/Mistral-22B-v0.1   Vezora/Mistral-22B-v0.1
Model Size22b
Required VRAM12.2 GB
Updated2025-06-09
Maintainersolidrust
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   2.2 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mistral 22B V0.1 AWQ (solidrust/Mistral-22B-v0.1-AWQ)

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Mistral 22B V0.2 AWQ64K / 12.2 GB212
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Codestral 22B V0.1 AWQ32K / 12.2 GB210
Codestral 22B V0.1 AWQ32K / 12.2 GB100
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... Instruct 0.2 Chkpt 200 16 Bit128K / 44.7 GB411
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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Mistral-22B-v0.1-AWQ.

Rank the Mistral 22B V0.1 AWQ Capabilities

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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  

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Release v20241124
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