What are the hardware requirements for Qwen 35B A3B SignOfFour Coder?

Qwen 35B A3B SignOfFour Coder requires approximately 70.6 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 Qwen 35B A3B SignOfFour Coder and how large is it?

Qwen 35B A3B SignOfFour Coder is developed by pragmaticcs, 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 Qwen 35B A3B SignOfFour Coder?

Qwen 35B A3B SignOfFour Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 35B A3B SignOfFour Coder by pragmaticcs — VRAM 70.6GB, 256K context

Name: Qwen 35B A3B SignOfFour Coder
Author: pragmaticcs

Qwen 35B A3B SignOfFour Coder is an open-source language model by pragmaticcs. Features: 35b LLM, VRAM: 70.6GB, Context: 256K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.3.

Agentic Base model:jackrong/qwopus3.6-... Base model:kwaipilot/kat-coder... Base model:merge:jackrong/qwop... Base model:merge:kwaipilot/kat... Base model:merge:ornith-ai/orn... Base model:merge:qwen/qwen-age... Base model:ornith-ai/ornith-1.... Base model:qwen/qwen-agentworl... Code Codegen Conversational Dare Deltanet En Endpoints compatible Merge Moe Qwen Qwen3.5 Qwen3.6 Qwen3 5 moe Reasoning Region:us Safetensors Sharded Tensorflow Ties Zh

Model Card on HF 🤗: https://huggingface.co/pragmaticcs/Qwen-35B-A3B-SignOfFour-Coder

Qwen 35B A3B SignOfFour Coder Parameters and Internals

LLM Name	Qwen 35B A3B SignOfFour Coder
Repository 🤗	https://huggingface.co/pragmaticcs/Qwen-35B-A3B-SignOfFour-Coder
Model Name	pragmaticcs/SignOfTheFour
Base Model(s)	Jackrong/Qwopus3.6-35B-A3B-Coder ornith-ai/Ornith-1.5-35B-A3B Kwaipilot/KAT-Coder-V2.5-Dev Qwen AgentWorld 35B A3B Jackrong/Qwopus3.6-35B-A3B-Coder ornith-ai/Ornith-1.5-35B-A3B Kwaipilot/KAT-Coder-V2.5-Dev Qwen/Qwen-AgentWorld-35B-A3B
Model Size	35b
Required VRAM	70.6 GB
Updated	2026-09-08
Maintainer	pragmaticcs
Model Type	qwen3_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 2.8 GB: 25-of-26 1.6 GB: 26-of-26
Supported Languages	en zh
Generates Code	Yes
Model Architecture	Qwen3_5MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2TokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 35B A3B SignOfFour Coder 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

Best Alternatives to Qwen 35B A3B SignOfFour Coder

Best Alternatives	Context / RAM	Downloads	Likes
TripleTrouble V3	256K / 69.7 GB	633	2
SignOfFour	256K / 70.6 GB	728	1
UltiMerge	256K / 69.3 GB	557	2
TripleTrouble	256K / 69.7 GB	290	4
DAOS Fusion	256K / 69.3 GB	34	2
...till 35B A3B Coder Abliterated	256K / 12.3 GB	43572	15

Note: green Score (e.g. "73.2") means that the model is better than pragmaticcs/Qwen-35B-A3B-SignOfFour-Coder.