Codestral 22B V0.1 FP8 by TechxGenus

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  Autotrain compatible   Code   Fp8   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Codestral 22B V0.1 FP8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codestral 22B V0.1 FP8 (TechxGenus/Codestral-22B-v0.1-FP8)

Codestral 22B V0.1 FP8 Parameters and Internals

Model Type 
code generation, instruct, FIM (Fill in the Middle)
Use Cases 
Areas:
software development
Applications:
VS Code add-ons
Primary Use Cases:
instruct interaction, FIM (Fill in the Middle)
Limitations:
lacks moderation mechanisms
Considerations:
Ensure moderation for deployment in sensitive environments
Supported Languages 
language_set (programming languages), details (80+ languages, including Python, Java, C, C++, JavaScript, and Bash)
LLM NameCodestral 22B V0.1 FP8
Repository ๐Ÿค—https://huggingface.co/TechxGenus/Codestral-22B-v0.1-FP8 
Model Size22b
Required VRAM22.7 GB
Updated2025-02-22
MaintainerTechxGenus
Model Typemistral
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   2.7 GB: 5-of-5
Supported Languagescode
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/Codestral-22B-v0.1-FP8.

Rank the Codestral 22B V0.1 FP8 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227