初始化项目，由ModelHub XC社区提供模型

Model: realoperator42/ministral-8B-Instruct-2410-abliterated
Source: Original Platform

README.md

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+---
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- ru
+- zh
+- ja
+tags:
+- abliterated
+- uncensored
+- ministral
+- mistral
+- text-generation
+- conversational
+base_model: mistralai/Ministral-8B-Instruct-2410
+datasets:
+- N/A
+pipeline_tag: text-generation
+model-index:
+- name: ministral-8B-Instruct-2410-abliterated
+  results: []
+---
+
+# 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](https://huggingface.co/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