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Mistral 22B V0.1 by Vezora

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

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vezora/Mistral-22B-v0.1 

Mistral 22B V0.1 Benchmarks

ARC: 49.15 vs 96.7 (so35)-49.2%
HellaSwag: 72.81 vs 95.3 (gpt4)-23.6%
MMLU: 48.55 vs 88.3 (so35)-45%
TruthfulQA: 47.31 vs 59 (gpt4)-19.8%
WinoGrande: 74.51 vs 87.5 (gpt4)-14.8%
GSM8K: 6.44 vs 96.4 (so35)-93.3%
LLME Score: 0.22325
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 22B V0.1 (Vezora/Mistral-22B-v0.1)

Mistral 22B V0.1 Parameters and Internals

Model Type 
Dense Model
Use Cases 
Areas:
Experimentation, Mathematics
Applications:
Proficiency in mathematical tasks
Limitations:
Experimental model, Trained with limited data and time.
Additional Notes 
Stay tuned for the release of V.2 with enhanced features.
Training Details 
Data Sources:
500 regular human written Q/A, 500 tested python examples
Data Volume:
Small scale due to experimental model
Methodology:
First MOE to dense model conversion
Training Time:
Trained in less than an hour
Model Architecture:
22B parameter dense model
Release Notes 
Version:
V.01
Date:
April 11
Notes:
First MOE to dense model conversion; trained on a limited dataset in a short time, expected performance comparable to Llama 1.
LLM NameMistral 22B V0.1
Repository 🤗https://huggingface.co/Vezora/Mistral-22B-v0.1 
Model Size22b
Required VRAM44.7 GB
Updated2025-03-22
MaintainerVezora
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 22B V0.1

Model
Likes
Downloads
VRAM
Mistral 22B V0.1 AWQ11012 GB

Best Alternatives to Mistral 22B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
MS Schisandra 22B V0.2128K / 44.7 GB399
...ntheon RP Pure 1.6.2 22B Small128K / 44.7 GB11829
MS Meadowlark 22B128K / 44.7 GB15414
... V4x1.6.2RP Cydonia VXXX 22B 8128K / 44.7 GB275
Beeper King 22B128K / 44.7 GB217
... V4x1.6.2RP Cydonia VXXX 22B 6128K / 44.7 GB193
MS Dampf 2409 22B128K / 44.7 GB160
Kyne R2 22B128K / 44.7 GB200
MS Fujin 2409 22B128K / 44.7 GB140
MS A Coolyte 2409 22B128K / 44.7 GB130
Note: green Score (e.g. "73.2") means that the model is better than Vezora/Mistral-22B-v0.1.

Rank the Mistral 22B V0.1 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  

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Release v20241227
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