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

Qwen3.6 35B A3B NSC ACE SABER GGUF MTP requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.6 35B A3B NSC ACE SABER GGUF MTP is developed by GestaltLabs, a model with 35b 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 GGUF MTP?

Qwen3.6 35B A3B NSC ACE SABER GGUF MTP 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 GGUF MTP by GestaltLabs — VRAM 0.9GB

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

Qwen3.6 35B A3B NSC ACE SABER GGUF MTP is an open-source language model by GestaltLabs. Features: 35b LLM, VRAM: 0.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

Agentic Base model:gestaltlabs/qwen3.6... Base model:quantized:gestaltla... Conversational En Endpoints compatible Gguf Image-text-to-text Llama.cpp Mtp Nsc-ace Q2 Quantized Qwen3 5 moe Region:us Saber Safetensors Tool-calling Vision

Model Card on HF 🤗: https://huggingface.co/GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER-GGUF-MTP

Qwen3.6 35B A3B NSC ACE SABER GGUF MTP Parameters and Internals

LLM Name	Qwen3.6 35B A3B NSC ACE SABER GGUF MTP
Repository 🤗	https://huggingface.co/GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER-GGUF-MTP
Base Model(s)	GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER GestaltLabs/Qwen3.6-35B-A3B-NSC-ACE-SABER
Model Size	35b
Required VRAM	0.9 GB
Updated	2026-07-09
Maintainer	GestaltLabs
Model Type	qwen3_5_moe
Model Files	71.1 GB 13.3 GB 18.6 GB 17.2 GB 15.6 GB 21.7 GB 20.4 GB 25.3 GB 24.6 GB 29.2 GB 37.8 GB 0.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.6 35B A3B NSC ACE SABER GGUF MTP 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

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

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 35B A3B GGUF	0K / 0.9 GB	135718	862
BigBang Aquila 35B Merged	0K / 70.3 GB	81	0
...ERATUS Hermes MTP Vision Llama	0K / 0.9 GB	453	1
...RATUS Hermes MTP Vision Ollama	0K / 0.9 GB	110	2
AgentWorld 35B A3B Heretic	0K / 70.4 GB	0	1
Darwin 35B A3B Opus Q8 GGUF	0K / 10.7 GB	289	25
Qwen3.6 35B A3B MLX 4bit	0K / 20.5 GB	513193	6
Qwen3.6 35B A3B MLX 6bit	0K / 28.9 GB	478592	2
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	473537	1
Qwen3.6 35B A3B UD MLX 4bit	0K / 21.6 GB	15720	112

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