What are the hardware requirements for Qwen3.8 27B Heretic SmoothQuant W8A8 INT8?

Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 requires approximately 30.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 and how large is it?

Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 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 Qwen3.8 27B Heretic SmoothQuant W8A8 INT8?

Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 by akumaburn — VRAM 30.3GB

Name: Qwen3.8 27B Heretic SmoothQuant W8A8 INT8
Author: akumaburn

Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 is an open-source language model by akumaburn. Features: 27b LLM, VRAM: 30.3GB, License: apache-2.0, LLM Explorer Score: 0.29.

8-bit Abliterated Base model:akumaburn/qwen3.8-2... Base model:quantized:akumaburn... Compressed-tensors Conversational Gptq Heretic Image-text-to-text Int8 Mtp Quarot Qwen3.8 Qwen3 5 Region:us Research-only Rotation Safetensors Sharded Smoothquant Speculative-decoding Tensorflow Uncensored Vision Vllm W8a8

Model Card on HF 🤗: https://huggingface.co/akumaburn/Qwen3.8-27B-heretic-SmoothQuant-W8A8-INT8

Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 Parameters and Internals

LLM Name	Qwen3.8 27B Heretic SmoothQuant W8A8 INT8
Repository 🤗	https://huggingface.co/akumaburn/Qwen3.8-27B-heretic-SmoothQuant-W8A8-INT8
Base Model(s)	akumaburn/Qwen3.8-27B-heretic akumaburn/Qwen3.8-27B-heretic
Model Size	27b
Required VRAM	30.3 GB
Updated	2026-09-03
Maintainer	akumaburn
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-15 2.5 GB: 2-of-15 2.0 GB: 3-of-15 1.9 GB: 4-of-15 2.0 GB: 5-of-15 1.9 GB: 6-of-15 2.0 GB: 7-of-15 2.0 GB: 8-of-15 2.0 GB: 9-of-15 1.9 GB: 10-of-15 2.0 GB: 11-of-15 2.0 GB: 12-of-15 1.9 GB: 13-of-15 2.0 GB: 14-of-15 1.7 GB: 15-of-15 0.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.13.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B Heretic SmoothQuant W8A8 INT8 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 Qwen3.8 27B Heretic SmoothQuant W8A8 INT8

Best Alternatives	Context / RAM	Downloads	Likes
Agens Pilot	1024K / 54.7 GB	84	1
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Cortex Mini 1 Preview	0K / 55.6 GB	39	2
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028

Note: green Score (e.g. "73.2") means that the model is better than akumaburn/Qwen3.8-27B-heretic-SmoothQuant-W8A8-INT8.