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: 0.24.

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

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 Qwen3.8 27B Fable Distill

Model	Likes	Downloads	VRAM
...3.8 27B Fable Distill Mlx 8Bit	1	348	28 GB

Best Alternatives to Qwen3.8 27B Fable Distill

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	86	3
... 27B 6.3bpw RCO SAR Marlin MTP	256K / 22 GB	84	1
Qwen3.8 27B NPU2	256K / GB	252	4
...toTrust Decider Pro Vision 27B	0K / 55.6 GB	1537390	4526
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Arete 27B	0K / 54.7 GB	2407	346
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753

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