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Qwen35B Agent R2 Abliterated by hotdogs

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Qwen35B Agent R2 Abliterated is an open-source language model by hotdogs. Features: 34.7b LLM, VRAM: 69.3GB, Context: 256K, License: agpl-3.0, MoE, LLM Explorer Score: 0.33.

  Abliterated   Agent   Agent-world Base model:huihui-ai/huihui-qw... Base model:quantized:huihui-ai...   Conversational Dataset:11-47/claude opus 4.8 ... Dataset:cx-cmu/agent trajector... Dataset:hotdogs/uka-fable-reas...   En   Endpoints compatible   Fable   Gguf   Image-text-to-text   Mixture-of-experts   Moe   Opus   Qwen   Qwen3 5 moe text   Reasoning   Region:us   Safetensors   Sft   Sharded   Tensorflow   Th   Thai   Tool-calling   Tool-use   Uncensored   Vision   Ykai
Model Card on HF 🤗: https://huggingface.co/hotdogs/Qwen35B-Agent-R2-Abliterated 

Qwen35B Agent R2 Abliterated Benchmarks

LLME Score: 0.33437
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen35B Agent R2 Abliterated (hotdogs/Qwen35B-Agent-R2-Abliterated)
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Qwen35B Agent R2 Abliterated Parameters and Internals

LLM NameQwen35B Agent R2 Abliterated
Repository 🤗https://huggingface.co/hotdogs/Qwen35B-Agent-R2-Abliterated 
Base Model(s)  huihui-ai/Huihui-Qwen-AgentWorld-35B-A3B-abliterated   huihui-ai/Huihui-Qwen-AgentWorld-35B-A3B-abliterated
Model Size34.7b
Required VRAM69.3 GB
Updated2026-07-13
Maintainerhotdogs
Model Typeqwen3_5_moe_text
Model Files  49.7 GB: 1-of-2   19.6 GB: 2-of-2
Supported Languagesen th
Model ArchitectureQwen3_5MoeForCausalLM
Licenseagpl-3.0
Context Length262144
Model Max Length262144
Transformers Version5.12.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

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LedgerGuard 35B256K / 69.5 GB80
Note: green Score (e.g. "73.2") means that the model is better than hotdogs/Qwen35B-Agent-R2-Abliterated.

Rank the Qwen35B Agent R2 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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