What are the hardware requirements for Qwen3.6 35B A3B Fable 5 Distill?

Qwen3.6 35B A3B Fable 5 Distill requires approximately 72.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 35B A3B Fable 5 Distill and how large is it?

Qwen3.6 35B A3B Fable 5 Distill is developed by armand0e, a model with 35b 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 Qwen3.6 35B A3B Fable 5 Distill?

Qwen3.6 35B A3B Fable 5 Distill is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 35B A3B Fable 5 Distill by armand0e — VRAM 72.2GB

Name: Qwen3.6 35B A3B Fable 5 Distill
Author: armand0e

Qwen3.6 35B A3B Fable 5 Distill is an open-source language model by armand0e. Features: 35b LLM, VRAM: 72.2GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3... Conversational Dataset:armand0e/claude-fable-... Dataset:armand0e/claude-opus-4... Dataset:armand0e/fable-5-chat Dataset:yellowbeeblackbee/clau... En Endpoints compatible Image-text-to-text Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/armand0e/Qwen3.6-35B-A3B-Fable-5-Distill

Qwen3.6 35B A3B Fable 5 Distill Parameters and Internals

LLM Name	Qwen3.6 35B A3B Fable 5 Distill
Repository 🤗	https://huggingface.co/armand0e/Qwen3.6-35B-A3B-Fable-5-Distill
Model Name	Qwen/Qwen3.6-35B-A3B
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	72.2 GB
Updated	2026-08-09
Maintainer	armand0e
Model Type	qwen3_5_moe
Model Files	4.0 GB: 1-of-26 1.3 GB: 2-of-26 3.4 GB: 3-of-26 3.4 GB: 4-of-26 3.4 GB: 5-of-26 4.0 GB: 6-of-26 1.1 GB: 7-of-26 4.0 GB: 8-of-26 1.1 GB: 9-of-26 4.0 GB: 10-of-26 1.1 GB: 11-of-26 3.4 GB: 12-of-26 1.6 GB: 13-of-26 3.4 GB: 14-of-26 1.6 GB: 15-of-26 4.0 GB: 16-of-26 1.1 GB: 17-of-26 4.0 GB: 18-of-26 1.1 GB: 19-of-26 3.4 GB: 20-of-26 1.6 GB: 21-of-26 3.4 GB: 22-of-26 3.4 GB: 23-of-26 3.4 GB: 24-of-26 3.8 GB: 25-of-26 2.2 GB: 26-of-26
Supported Languages	en
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.6 35B A3B Fable 5 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

Best Alternatives to Qwen3.6 35B A3B Fable 5 Distill

Best Alternatives	Context / RAM	Downloads	Likes
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	118	1
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1587153	507
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Xor	0K / 70.2 GB	1446	43

Note: green Score (e.g. "73.2") means that the model is better than armand0e/Qwen3.6-35B-A3B-Fable-5-Distill.