What are the hardware requirements for Swift 1.5 Qwen3.8 27B Heretic?

Swift 1.5 Qwen3.8 27B Heretic requires approximately 54.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Swift 1.5 Qwen3.8 27B Heretic and how large is it?

Swift 1.5 Qwen3.8 27B Heretic is developed by akumaburn, 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 1.5 Qwen3.8 27B Heretic?

Swift 1.5 Qwen3.8 27B Heretic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Swift 1.5 Qwen3.8 27B Heretic by akumaburn — VRAM 54.7GB

Name: Swift 1.5 Qwen3.8 27B Heretic
Author: akumaburn

Swift 1.5 Qwen3.8 27B Heretic is an open-source language model by akumaburn. Features: 27b LLM, VRAM: 54.7GB, License: other, LLM Explorer Score: 0.27.

Abliterated Base model:finetune:ukisai/swi... Base model:ukisai/swift-1.5-qw... Conversational Heretic Image-text-to-text Mtp Qwen3.8 Qwen3 5 Region:us Research-only Safetensors Sharded Swift Swift-1.5 Tensorflow Uncensored Vision Vllm

Model Card on HF 🤗: https://huggingface.co/akumaburn/Swift-1.5-Qwen3.8-27b-heretic

Swift 1.5 Qwen3.8 27B Heretic Parameters and Internals

LLM Name	Swift 1.5 Qwen3.8 27B Heretic
Repository 🤗	https://huggingface.co/akumaburn/Swift-1.5-Qwen3.8-27b-heretic
Base Model(s)	ukisai/Swift-1.5-Qwen3.8-27b ukisai/Swift-1.5-Qwen3.8-27b
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-09-29
Maintainer	akumaburn
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-12 4.8 GB: 2-of-12 5.0 GB: 3-of-12 4.9 GB: 4-of-12 5.0 GB: 5-of-12 4.9 GB: 6-of-12 4.9 GB: 7-of-12 5.0 GB: 8-of-12 5.0 GB: 9-of-12 4.9 GB: 10-of-12 5.0 GB: 11-of-12 2.8 GB: 12-of-12 0.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.6.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Swift 1.5 Qwen3.8 27B Heretic 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

Quantized Models of the Swift 1.5 Qwen3.8 27B Heretic

Model	Likes	Downloads	VRAM
...Qwen3.8 27B Heretic MXFP4 GPTQ	1	56	19 GB

Best Alternatives to Swift 1.5 Qwen3.8 27B Heretic

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	82	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	15064	2103
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416

Note: green Score (e.g. "73.2") means that the model is better than akumaburn/Swift-1.5-Qwen3.8-27b-heretic.