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

Qwen3.8 27B Fable Distill requires approximately 55.6 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 and how large is it?

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

Qwen3.8 27B Fable Distill 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 by TeichAI — VRAM 55.6GB

Name: Qwen3.8 27B Fable Distill
Author: TeichAI

Qwen3.8 27B Fable Distill is an open-source language model by TeichAI. Features: 27b LLM, VRAM: 55.6GB, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b 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/TeichAI/Qwen3.8-27B-Fable-Distill

Qwen3.8 27B Fable Distill Parameters and Internals

LLM Name	Qwen3.8 27B Fable Distill
Repository 🤗	https://huggingface.co/TeichAI/Qwen3.8-27B-Fable-Distill
Model Name	unsloth/Qwen3.8-27B
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-08-15
Maintainer	TeichAI
Model Type	qwen3_5
Model Files	4.0 GB: 1-of-18 3.0 GB: 2-of-18 2.5 GB: 3-of-18 4.0 GB: 4-of-18 2.1 GB: 5-of-18 4.0 GB: 6-of-18 2.1 GB: 7-of-18 4.0 GB: 8-of-18 2.1 GB: 9-of-18 4.0 GB: 10-of-18 2.1 GB: 11-of-18 4.0 GB: 12-of-18 2.1 GB: 13-of-18 4.0 GB: 14-of-18 2.1 GB: 15-of-18 4.0 GB: 16-of-18 2.1 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 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

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.8 27B NVFP4	0K / 22 GB	30122	14
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.8 27B INT8 W8A16 MTP	0K / 30.7 GB	4723	26
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.8 27B Heretic Ara	0K / 54.6 GB	841	46
Qwen3.5 27B	0K / 55.2 GB	2536294	1028

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