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

Swift Qwen3.8 27B MIX GGUF requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Swift Qwen3.8 27B MIX GGUF is developed by vmarcelo, 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 MIX GGUF?

Swift Qwen3.8 27B MIX GGUF 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 MIX GGUF by vmarcelo — VRAM 0.9GB

Name: Swift Qwen3.8 27B MIX GGUF
Author: vmarcelo

Swift Qwen3.8 27B MIX GGUF is an open-source language model by vmarcelo. Features: 27b LLM, VRAM: 0.9GB, License: other, Quantized, LLM Explorer Score: 0.36.

Base model:quantized:ukisai/sw... Base model:ukisai/swift-qwen3.... Conversational Endpoints compatible Gguf Image-text-to-text Imatrix Iq3 xxs Iq4 xs Mtp Multilingual Multimodal Quantized Qwen3.8 Qwen3 5 Region:us Speculative-decoding Vision Vulkan

Model Card on HF 🤗: https://huggingface.co/vmarcelo/Swift-Qwen3.8-27B-MIX_GGUF

Swift Qwen3.8 27B MIX GGUF Parameters and Internals

LLM Name	Swift Qwen3.8 27B MIX GGUF
Repository 🤗	https://huggingface.co/vmarcelo/Swift-Qwen3.8-27B-MIX_GGUF
Base Model(s)	ukisai/Swift-Qwen3.8-27b ukisai/Swift-Qwen3.8-27b
Model Size	27b
Required VRAM	0.9 GB
Updated	2026-09-24
Maintainer	vmarcelo
Model Type	qwen3_5
Model Files	10.1 GB 12.9 GB 14.2 GB 0.9 GB 0.0 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the Swift Qwen3.8 27B MIX GGUF 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 Swift Qwen3.8 27B MIX GGUF

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...N V1.1 NM DAU NEO MAX MTP GGUF	0K / 0.9 GB	516048	320
Qwen3.8 27B GGUF	0K / 0.9 GB	0	685
... Opus Reasoning Distilled GGUF	0K / 0.9 GB	67921	679
...N Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	3531	3
Ternary Bonsai 2 27B MLX 4bit	0K / 16 GB	1175	2
EleMo V3 Base	0K / 0.9 GB	1989	1
...4 Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	789	2
Bonsai 2 27B W4A16	0K / 16.5 GB	359	1
...en3.8 27B PristinelyUncensored	0K / 55.5 GB	2244	5
...M DAU NEO MAX MTP GGUF Etheroi	0K / 0.9 GB	2258	1

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