What are the hardware requirements for Swift Qwen3.8 27B Mlx 5Bit?

Swift Qwen3.8 27B Mlx 5Bit requires approximately 18.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Swift Qwen3.8 27B Mlx 5Bit and how large is it?

Swift Qwen3.8 27B Mlx 5Bit is developed by andosen, 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 Mlx 5Bit?

Swift Qwen3.8 27B Mlx 5Bit 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 Mlx 5Bit by andosen — VRAM 18.5GB

Name: Swift Qwen3.8 27B Mlx 5Bit
Author: andosen

Swift Qwen3.8 27B Mlx 5Bit is an open-source language model by andosen. Features: 27b LLM, VRAM: 18.5GB, License: other, Quantized, LLM Explorer Score: 0.31.

5-bit 5bit Base model:finetune:ukisai/swi... Base model:ukisai/swift-qwen3.... Conversational Efficient-thinking Endpoints compatible Image-text-to-text Lora Mlx Mlx-my-repo Quantized Qwen3 5 Qwen3 8 Reasoning Region:us Safetensors Sharded Tensorflow Token-efficient

Model Card on HF 🤗: https://huggingface.co/andosen/Swift-Qwen3.8-27b-mlx-5Bit

Swift Qwen3.8 27B Mlx 5Bit Parameters and Internals

LLM Name	Swift Qwen3.8 27B Mlx 5Bit
Repository 🤗	https://huggingface.co/andosen/Swift-Qwen3.8-27b-mlx-5Bit
Base Model(s)	ukisai/Swift-Qwen3.8-27b ukisai/Swift-Qwen3.8-27b
Model Size	27b
Required VRAM	18.5 GB
Updated	2026-09-14
Maintainer	andosen
Model Type	qwen3_5
Model Files	5.4 GB: 1-of-4 5.3 GB: 2-of-4 5.4 GB: 3-of-4 2.4 GB: 4-of-4
Quantization Type	5bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Swift Qwen3.8 27B Mlx 5Bit 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 Mlx 5Bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OptiQ 4bit	256K / 18.7 GB	13065	59
Bonsai 27B Mlx 1bit	0K / 5.1 GB	809309	205
Ternary Bonsai 27B Mlx 2bit	0K / 8.5 GB	809024	168
Qwen3.6 27B MLX 8bit	0K / 29.4 GB	879145	14
Qwen3.6 27B MLX 6bit	0K / 22.7 GB	812977	2
Qwen3.8 27B 8bit	0K / 29.4 GB	13892	33
Qwen3.6 27B MLX 4bit	0K / 16 GB	846861	16
Qwen3.8 27B MLX 8bit	0K / 29.4 GB	24811	7
Qwen3.8 27B MLX 4bit	0K / 16 GB	19712	10
Qwen3.8 27B 4bit	0K / 16 GB	6055	27

Note: green Score (e.g. "73.2") means that the model is better than andosen/Swift-Qwen3.8-27b-mlx-5Bit.