What are the hardware requirements for Qwen3.8 27B Fable Distill FP8?

Qwen3.8 27B Fable Distill FP8 requires approximately 38.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Fable Distill FP8 and how large is it?

Qwen3.8 27B Fable Distill FP8 is developed by vwdubb, 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 Fable Distill FP8?

Qwen3.8 27B Fable Distill FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Fable Distill FP8 by vwdubb — VRAM 38.2GB

Name: Qwen3.8 27B Fable Distill FP8
Author: vwdubb

Qwen3.8 27B Fable Distill FP8 is an open-source language model by vwdubb. Features: 27b LLM, VRAM: 38.2GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:quantized:teichai/q... Base model:teichai/qwen3.8-27b... Compressed-tensors Conversational Dataset:armand0e/claude-fable-... Dataset:armand0e/fable-5-chat En Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/vwdubb/Qwen3.8-27B-Fable-Distill-FP8

Qwen3.8 27B Fable Distill FP8 Parameters and Internals

LLM Name	Qwen3.8 27B Fable Distill FP8
Repository 🤗	https://huggingface.co/vwdubb/Qwen3.8-27B-Fable-Distill-FP8
Model Name	unsloth/Qwen3.8-27B
Base Model(s)	TeichAI/Qwen3.8-27B-Fable-Distill TeichAI/Qwen3.8-27B-Fable-Distill
Model Size	27b
Required VRAM	38.2 GB
Updated	2026-08-19
Maintainer	vwdubb
Model Type	qwen3_5
Model Files	2.9 GB: 1-of-18 2.0 GB: 2-of-18 2.5 GB: 3-of-18 2.6 GB: 4-of-18 1.4 GB: 5-of-18 2.6 GB: 6-of-18 1.3 GB: 7-of-18 2.6 GB: 8-of-18 1.3 GB: 9-of-18 2.6 GB: 10-of-18 1.3 GB: 11-of-18 2.6 GB: 12-of-18 1.3 GB: 13-of-18 2.6 GB: 14-of-18 1.3 GB: 15-of-18 2.6 GB: 16-of-18 1.3 GB: 17-of-18 3.4 GB: 18-of-18
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.8 27B Fable Distill FP8 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 Qwen3.8 27B Fable Distill FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Huihui Qwen3.8 27B Abliterated	0K / 55.6 GB	1485	76
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
...n3.8 27B MTPLX Optimized Speed	0K / 19.6 GB	6989	50
Qwen3.5 27B	0K / 55.2 GB	8115	16

Note: green Score (e.g. "73.2") means that the model is better than vwdubb/Qwen3.8-27B-Fable-Distill-FP8.