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Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled by lordx64

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Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled is an open-source language model by lordx64. Features: 35b LLM, VRAM: 72.2GB, License: apache-2.0, LLM Explorer Score: 0.37.

Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.6-35b-a3...   Chain-of-thought Dataset:lordx64/reasoning-dist...   Deploy:azure   Distillation   En   Endpoints compatible   Lora   Mixture-of-experts   Moe   Qwen   Qwen3.6   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled 

Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled Benchmarks

LLME Score: 0.36973
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled (lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled)
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Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled Parameters and Internals

LLM NameQwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled
Repository 🤗https://huggingface.co/lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled 
Model Nameunsloth/Qwen3.6-35B-A3B
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM72.2 GB
Updated2026-07-09
Maintainerlordx64
Model Typeqwen3_5_moe
Model Files  4.0 GB: 1-of-26   1.3 GB: 2-of-26   3.4 GB: 3-of-26   3.4 GB: 4-of-26   3.4 GB: 5-of-26   4.0 GB: 6-of-26   1.1 GB: 7-of-26   4.0 GB: 8-of-26   1.1 GB: 9-of-26   4.0 GB: 10-of-26   1.1 GB: 11-of-26   3.4 GB: 12-of-26   1.6 GB: 13-of-26   3.4 GB: 14-of-26   1.6 GB: 15-of-26   4.0 GB: 16-of-26   1.1 GB: 17-of-26   4.0 GB: 18-of-26   1.1 GB: 19-of-26   3.4 GB: 20-of-26   1.6 GB: 21-of-26   3.4 GB: 22-of-26   3.4 GB: 23-of-26   3.4 GB: 24-of-26   3.8 GB: 25-of-26   2.2 GB: 26-of-26
Supported Languagesen
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled

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VRAM
Qwen3.6 35B Opus To Kimi Lora91020 GB

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Note: green Score (e.g. "73.2") means that the model is better than lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled.

Rank the Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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