What are the hardware requirements for Swift Qwen3.8 27B?

Swift Qwen3.8 27B requires approximately 55.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Swift Qwen3.8 27B and how large is it?

Swift Qwen3.8 27B is developed by ukisai, 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 Swift Qwen3.8 27B?

Swift Qwen3.8 27B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Swift Qwen3.8 27B by ukisai — VRAM 55.6GB

Name: Swift Qwen3.8 27B
Author: ukisai

Swift Qwen3.8 27B is an open-source language model by ukisai. Features: 27b LLM, VRAM: 55.6GB, License: other, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Conversational Efficient-thinking Endpoints compatible Image-text-to-text Lora Qwen3 5 Qwen3 8 Reasoning Region:us Safetensors Sharded Tensorflow Token-efficient

Model Card on HF 🤗: https://huggingface.co/ukisai/Swift-Qwen3.8-27b

Swift Qwen3.8 27B Parameters and Internals

LLM Name	Swift Qwen3.8 27B
Repository 🤗	https://huggingface.co/ukisai/Swift-Qwen3.8-27b
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-09-13
Maintainer	ukisai
Model Type	qwen3_5
Model Files	4.0 GB: 1-of-18 3.0 GB: 2-of-18 2.5 GB: 3-of-18 4.0 GB: 4-of-18 2.1 GB: 5-of-18 4.0 GB: 6-of-18 2.1 GB: 7-of-18 4.0 GB: 8-of-18 2.1 GB: 9-of-18 4.0 GB: 10-of-18 2.1 GB: 11-of-18 4.0 GB: 12-of-18 2.1 GB: 13-of-18 4.0 GB: 14-of-18 2.1 GB: 15-of-18 4.0 GB: 16-of-18 2.1 GB: 17-of-18 3.4 GB: 18-of-18
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
LoRA Model	Yes
Errors	replace

Rank the Swift Qwen3.8 27B 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

Quantized Models of the Swift Qwen3.8 27B

Model	Likes	Downloads	VRAM
Swift Qwen3.8 27B MIX GGUF	2	2219	0 GB
...wift Qwen3.8 27B OQ4e Fp16 Mtp	10	663	17 GB
Swift Qwen3.8 27B W4A16 AWQ	6	595	18 GB
Swift Qwen3.8 27B MLX 6bit	2	236	22 GB
Swift Qwen3.8 27B AWQ INT4	1	249	21 GB
Swift Qwen3.8 27B MLX 4bit	1	105	17 GB
Swift Qwen3.8 27B Mlx 5Bit	1	109	18 GB
...7B GPTQ Int4 Sym G128 MTP BF16	1	56	19 GB

Best Alternatives to Swift Qwen3.8 27B

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	86	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.8 27B	0K / 55.6 GB	2727	21

Note: green Score (e.g. "73.2") means that the model is better than ukisai/Swift-Qwen3.8-27b.