Mistral Small Instruct 2409 Abliterated by zetasepic

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Mistral Small Instruct 2409 Abliterated is an open-source language model by zetasepic. Features: 22.2b LLM, VRAM: 44.7GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Small Instruct 2409 Abliterated Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Small Instruct 2409 Abliterated Parameters and Internals

LLM NameMistral Small Instruct 2409 Abliterated
Repository 🤗https://huggingface.co/zetasepic/Mistral-Small-Instruct-2409-abliterated 
Base Model(s)  Mistral Small Instruct 2409   mistralai/Mistral-Small-Instruct-2409
Model Size22.2b
Required VRAM44.7 GB
Updated2026-04-21
Maintainerzetasepic
Model Typemistral
Instruction-BasedYes
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
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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Mistral Small Instruct 2409128K / 44.7 GB4448
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MS Sunfall V0.7.032K / 44.7 GB312
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MistralSmall1500CTXDummy32K / 44.7 GB140
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Note: green Score (e.g. "73.2") means that the model is better than zetasepic/Mistral-Small-Instruct-2409-abliterated.

Rank the Mistral Small Instruct 2409 Abliterated 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 v20260328a