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Huihui MoE 23B A4B Abliterated by huihui-ai

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Huihui MoE 23B A4B Abliterated is an open-source language model by huihui-ai. Features: 23.2b LLM, VRAM: 46.6GB, Context: 40K, License: apache-2.0, MoE, LLM Explorer Score: 0.19.

Base model:finetune:niutrans/g... Base model:niutrans/gram-qwen3...   Conversational   Endpoints compatible   Moe   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/huihui-ai/Huihui-MoE-23B-A4B-abliterated 

Huihui MoE 23B A4B Abliterated Benchmarks

LLME Score: 0.1949
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Huihui MoE 23B A4B Abliterated (huihui-ai/Huihui-MoE-23B-A4B-abliterated)
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Huihui MoE 23B A4B Abliterated Parameters and Internals

LLM NameHuihui MoE 23B A4B Abliterated
Repository 🤗https://huggingface.co/huihui-ai/Huihui-MoE-23B-A4B-abliterated 
Base Model(s)  Huihui Qwen3 4B Abliterated V2   enlo/Jan-nano   Qwen3 4B Esper3   Crux Qwen3 OpenThinking 4B   XformAI-india/Qwen3-4B-medicaldataset   UIGEN T3 4B Preview   radm/prophet-qwen3-4b-sft   GRAM Qwen3 4B RewardModel   huihui-ai/Huihui-Qwen3-4B-abliterated-v2   enlo/Jan-nano   ValiantLabs/Qwen3-4B-Esper3   prithivMLmods/Crux-Qwen3_OpenThinking-4B   XformAI-india/Qwen3-4B-medicaldataset   Tesslate/UIGEN-T3-4B-Preview   radm/prophet-qwen3-4b-sft   NiuTrans/GRAM-Qwen3-4B-RewardModel
Model Size23.2b
Required VRAM46.6 GB
Updated2026-05-24
Maintainerhuihui-ai
Model Typeqwen3_moe
Model Files  5.0 GB: 1-of-10   5.0 GB: 2-of-10   5.0 GB: 3-of-10   5.0 GB: 4-of-10   5.0 GB: 5-of-10   5.0 GB: 6-of-10   5.0 GB: 7-of-10   5.0 GB: 8-of-10   5.0 GB: 9-of-10   1.6 GB: 10-of-10
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Huihui MoE 23B A4B40K / 46.6 GB816
Note: green Score (e.g. "73.2") means that the model is better than huihui-ai/Huihui-MoE-23B-A4B-abliterated.

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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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