What are the hardware requirements for Qwen3.6 35B A3B NSC ACE SABER?

Qwen3.6 35B A3B NSC ACE SABER requires approximately 69.3 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 35B A3B NSC ACE SABER and how large is it?

Qwen3.6 35B A3B NSC ACE SABER is developed by GestaltLabs, a model with 34.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3.6 35B A3B NSC ACE SABER?

Qwen3.6 35B A3B NSC ACE SABER is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 35B A3B NSC ACE SABER by GestaltLabs — VRAM 69.3GB, 256K context

Name: Qwen3.6 35B A3B NSC ACE SABER
Author: GestaltLabs

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: 0.23.

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 Parameters and Internals

LLM Name	Qwen3.6 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 Size	34.7b
Required VRAM	69.3 GB
Updated	2026-05-12
Maintainer	GestaltLabs
Model Type	qwen3_5_moe_text
Model Files	49.7 GB: 1-of-2 19.6 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3_5MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.6 35B A3B NSC ACE SABER capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Qwen3.6 35B A3B NSC ACE SABER

Model	Likes	Downloads	VRAM
...35B A3B NSC ACE SABER GGUF MTP	20	20997	0 GB

Best Alternatives to Qwen3.6 35B A3B NSC ACE SABER

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B Abliterated V4	256K / 69.3 GB	948920	8
SIQ 1 35B	256K / 69.3 GB	671	102
Qwen35B Agent R2	256K / 69.3 GB	2861	6
Grug 35B A3B	256K / 69 GB	1252	31
Qwen35B Agent R2 Abliterated	256K / 69.3 GB	1564	0
...A3B W8a8 Llmcompressor V0.12.0	256K / 19.4 GB	541	1
Ornith 1.5 35B A3B Abliterated	256K / 69.3 GB	211	1
Aurora Code 1	256K / 69 GB	443	5
Darwin 36B Opus	256K / 69 GB	400	87
Ornstein3.6 35B A3B	256K / 69.3 GB	902	8

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