What are the hardware requirements for Logics SWE Qwen3.6 35B A3B?

Logics SWE Qwen3.6 35B A3B requires approximately 70.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Logics SWE Qwen3.6 35B A3B and how large is it?

Logics SWE Qwen3.6 35B A3B is developed by Logics-MLLM, 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 Logics SWE Qwen3.6 35B A3B?

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

Logics SWE Qwen3.6 35B A3B by Logics-MLLM — VRAM 70.4GB

Name: Logics SWE Qwen3.6 35B A3B
Author: Logics-MLLM

Logics SWE Qwen3.6 35B A3B is an open-source language model by Logics-MLLM. Features: 35b LLM, VRAM: 70.4GB, License: apache-2.0, LLM Explorer Score: 0.36.

Arxiv:2609.23377 Agentic-post-training Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3... Code Conversational Dataset:logics-mllm/logics-swe... Endpoints compatible Eval-results Image-text-to-text On-policy-distillation Qwen3 5 moe Region:us Safetensors Sharded Software-engineering Tensorflow

Model Card on HF 🤗: https://huggingface.co/Logics-MLLM/Logics-SWE-Qwen3.6-35B-A3B

Logics SWE Qwen3.6 35B A3B Parameters and Internals

LLM Name	Logics SWE Qwen3.6 35B A3B
Repository 🤗	https://huggingface.co/Logics-MLLM/Logics-SWE-Qwen3.6-35B-A3B
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	70.4 GB
Updated	2026-11-01
Maintainer	Logics-MLLM
Model Type	qwen3_5_moe
Model Files	4.3 GB: 1-of-16 4.5 GB: 2-of-16 5.0 GB: 3-of-16 4.0 GB: 4-of-16 4.5 GB: 5-of-16 5.0 GB: 6-of-16 4.0 GB: 7-of-16 4.5 GB: 8-of-16 5.0 GB: 9-of-16 4.0 GB: 10-of-16 4.5 GB: 11-of-16 5.0 GB: 12-of-16 4.0 GB: 13-of-16 4.5 GB: 14-of-16 5.0 GB: 15-of-16 2.6 GB: 16-of-16
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Logics SWE Qwen3.6 35B A3B 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 Logics SWE Qwen3.6 35B A3B

Best Alternatives	Context / RAM	Downloads	Likes
....5 35B A3B Sceptic V3 1M W4A16	1024K / 26.1 GB	223	0
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	58	0
Qwen3.6 35B A3B NPU2	256K / GB	82	0
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
JEV 35B	0K / 72.3 GB	713162	403
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1455824	519
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343

Note: green Score (e.g. "73.2") means that the model is better than Logics-MLLM/Logics-SWE-Qwen3.6-35B-A3B.