Model: realoperator42/ministral-8B-Instruct-2410-abliterated Source: Original Platform
language, tags, base_model, datasets, pipeline_tag, model-index
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mistralai/Ministral-8B-Instruct-2410 |
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text-generation |
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Ministral-8B-Instruct-2410-Abliterated
This is an abliterated version of Mistral AI's Ministral-8B-Instruct-2410 model. Through surgical intervention on the model's weights, this version has reduced refusal behaviors while maintaining the core capabilities of the original model.
What is Abliteration?
Abliteration is a technique that modifies a model's internal representations to reduce built-in refusal and censorship mechanisms. This process aims to make the model more compliant with user requests while preserving its fundamental capabilities and knowledge.
Model Details
Base Model: This model is derived from mistralai/Ministral-8B-Instruct-2410
Architecture: Same as base Ministral-8B with the following specifications:
- 8.02B parameters
- 128k context window with interleaved sliding-window attention
- Vocabulary size: 131,072 tokens using the V3-Tekken tokenizer
- Multilingual and code capabilities
- Function calling support
Key Features
Enhanced Responsiveness
- Reduced refusal behaviors compared to the original model
- More direct answers to complex or sensitive queries
- Maintains the base model's strong performance on general tasks
Technical Capabilities
All original capabilities are preserved:
- Long-context understanding up to 128k tokens
- Strong multilingual performance
- Code generation and understanding
- Function calling support
- Instruction following
Description
Languages
Jinja
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