Mistral 22B V0.2 AWQ by solidrust

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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

Mistral 22B V0.2 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 22B V0.2 AWQ (solidrust/Mistral-22B-v0.2-AWQ)

Mistral 22B V0.2 AWQ Parameters and Internals

Model Type 
mistral
Additional Notes 
This model is the first working MOE to Dense model conversion. Trained on 8x more data than v0.1.
Supported Languages 
en (English)
Input Output 
Input Format:
Guanaco prompt format
LLM NameMistral 22B V0.2 AWQ
Repository ๐Ÿค—https://huggingface.co/solidrust/Mistral-22B-v0.2-AWQ 
Model NameMistral-22B-v0.2
Model CreatorVezora
Base Model(s)  Vezora/Mistral-22B-v0.2   Vezora/Mistral-22B-v0.2
Model Size22b
Required VRAM12.2 GB
Updated2025-01-14
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

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Mistral-22B-v0.2-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227