What are the hardware requirements for Qwen3.5 27B V3 SFT 2?

Qwen3.5 27B V3 SFT 2 requires approximately 55.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 27B V3 SFT 2 and how large is it?

Qwen3.5 27B V3 SFT 2 is developed by ApocalypseParty, a model with 27b 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 Qwen3.5 27B V3 SFT 2?

Qwen3.5 27B V3 SFT 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 27B V3 SFT 2 by ApocalypseParty — VRAM 55.2GB

Name: Qwen3.5 27B V3 SFT 2
Author: ApocalypseParty

Qwen3.5 27B V3 SFT 2 is an open-source language model by ApocalypseParty. Features: 27b LLM, VRAM: 55.2GB, License: mit, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-27b Dataset:allura-forge/doubao-se... Dataset:allura-org/gryphe-sonn... Dataset:zerofata/gemini-3.1-pr... Dataset:zerofata/gemini-3.1-pr... Dataset:zerofata/instruct-anim... Dataset:zerofata/roleplay-anim... Instruct Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ApocalypseParty/Qwen3.5-27B-v3-SFT-2

Qwen3.5 27B V3 SFT 2 Parameters and Internals

LLM Name	Qwen3.5 27B V3 SFT 2
Repository 🤗	https://huggingface.co/ApocalypseParty/Qwen3.5-27B-v3-SFT-2
Base Model(s)	Qwen/Qwen3.5-27B Qwen/Qwen3.5-27B
Model Size	27b
Required VRAM	55.2 GB
Updated	2026-10-10
Maintainer	ApocalypseParty
Model Type	qwen3_5
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-11 5.3 GB: 2-of-11 5.3 GB: 3-of-11 5.3 GB: 4-of-11 5.3 GB: 5-of-11 5.3 GB: 6-of-11 5.3 GB: 7-of-11 5.4 GB: 8-of-11 5.3 GB: 9-of-11 5.3 GB: 10-of-11 2.1 GB: 11-of-11
Model Architecture	Qwen3_5ForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 27B V3 SFT 2 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 Qwen3.5 27B V3 SFT 2

Best Alternatives	Context / RAM	Downloads	Likes
...27B USS Collective Qx64 Hi Mlx	0K / 21 GB	417	2
Tmax 27B	0K / 53.8 GB	4630	26
Qwopus3.8 27B Flash V2	0K / 55.6 GB	126	17
Qwopus3.8 27B Flash	0K / 55.6 GB	234	19
...en3.8 27B MindMeld Qx64 Hi Mlx	0K / 21 GB	346	1
...en3.8 27B Parapraxis Mxfp8 Mlx	0K / 28.7 GB	206	1
...sion GAIN V1.1 Fable Mxfp8 Mlx	0K / 28.7 GB	720	2
...8 27B Brainwaves WFH Mxfp4 Mlx	0K / 15.1 GB	490	1
...1 Darker Hero GAIN B Mxfp8 Mlx	0K / 28.7 GB	609	2
Qwen3.8 27B FULL NVFP4	0K / 18.8 GB	336	2

Note: green Score (e.g. "73.2") means that the model is better than ApocalypseParty/Qwen3.5-27B-v3-SFT-2.