Codestral 22B V0.1 Abliterated V3 by failspy

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  Autotrain compatible   Code   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Codestral 22B V0.1 Abliterated V3 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 Abliterated V3 (failspy/Codestral-22B-v0.1-abliterated-v3)

Codestral 22B V0.1 Abliterated V3 Parameters and Internals

Model Type 
text generation, code generation
Use Cases 
Primary Use Cases:
code generation, code explanation, Fill in the Middle
Limitations:
No moderation mechanisms
Additional Notes 
This model has had certain weights manipulated to inhibit the model's ability to express refusal, effectively uncensoring it without changing other behavior from the original model.
LLM NameCodestral 22B V0.1 Abliterated V3
Repository ๐Ÿค—https://huggingface.co/failspy/Codestral-22B-v0.1-abliterated-v3 
Model Size22b
Required VRAM44.7 GB
Updated2025-02-22
Maintainerfailspy
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
Supported Languagescode
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.40.1
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 failspy/Codestral-22B-v0.1-abliterated-v3.

Rank the Codestral 22B V0.1 Abliterated V3 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