What are the hardware requirements for SignOfFour?

SignOfFour 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 SignOfFour and how large is it?

SignOfFour 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 SignOfFour?

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

SignOfFour by pragmaticcs — VRAM 70.6GB, 256K context

Name: SignOfFour
Author: pragmaticcs

SignOfFour 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: 0.33.

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/SignOfFour

SignOfFour Parameters and Internals

LLM Name	SignOfFour
Repository 🤗	https://huggingface.co/pragmaticcs/SignOfFour
Model Name	/root/.cache/kagglehub/models/jackjirong2/qwen3.6-35b-a3b/transformers/default/1
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	2026-09-04
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
Tokenizer Class	Qwen2TokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Torch Data Type	bfloat16
Errors	replace

Rank the SignOfFour 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 SignOfFour

Best Alternatives	Context / RAM	Downloads	Likes
UltiMerge	256K / 69.3 GB	557	2
DAOS Fusion	256K / 69.3 GB	34	2

Note: green Score (e.g. "73.2") means that the model is better than pragmaticcs/SignOfFour.