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Qwen3.6 35B A3B NSC ACE SABER by GestaltLabs

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Qwen3.6 35B A3B NSC ACE SABER is an open-source language model by GestaltLabs. Features: 34.7b LLM, VRAM: 69.3GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.28.

  Agentic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3...   Conversational   En   Endpoints compatible   Harmbench   Image-text-to-text   Moe   Nsc-ace   Qwen3 5 moe   Qwen3 5 moe text   Refusal-calibration   Region:us   Saber   Safetensors   Sharded   Tensorflow   Tool-calling
Model Card on HF 🤗: https://huggingface.co/GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER 

Qwen3.6 35B A3B NSC ACE SABER Benchmarks

LLME Score: 0.27628
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 NSC ACE SABER (GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER)
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Qwen3.6 35B A3B NSC ACE SABER Parameters and Internals

LLM NameQwen3.6 35B A3B NSC ACE SABER
Repository 🤗https://huggingface.co/GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size34.7b
Required VRAM69.3 GB
Updated2026-05-12
MaintainerGestaltLabs
Model Typeqwen3_5_moe_text
Model Files  49.7 GB: 1-of-2   19.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3_5MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.8.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER.

Rank the Qwen3.6 35B A3B NSC ACE SABER 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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