What are the hardware requirements for Qwen3.8 35B A3B Distill NVFP4 FreeToken?

Qwen3.8 35B A3B Distill NVFP4 FreeToken requires approximately 22 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 35B A3B Distill NVFP4 FreeToken and how large is it?

Qwen3.8 35B A3B Distill NVFP4 FreeToken is developed by qualitymaterial, 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 Qwen3.8 35B A3B Distill NVFP4 FreeToken?

Qwen3.8 35B A3B Distill NVFP4 FreeToken is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 35B A3B Distill NVFP4 FreeToken by qualitymaterial — VRAM 22GB

Name: Qwen3.8 35B A3B Distill NVFP4 FreeToken
Author: qualitymaterial

Qwen3.8 35B A3B Distill NVFP4 FreeToken is an open-source language model by qualitymaterial. Features: 35b LLM, VRAM: 22GB, License: apache-2.0, LLM Explorer Score: 0.31.

8-bit Base model:empero-ai/qwen3.8-3... Base model:quantized:empero-ai... Compressed-tensors Conversational Distillation En Fp8 Freetoken Moe Nvfp4 Quantization Qwen3.6 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/qualitymaterial/Qwen3.8-35B-A3B-Distill-NVFP4-FreeToken

Qwen3.8 35B A3B Distill NVFP4 FreeToken Parameters and Internals

LLM Name	Qwen3.8 35B A3B Distill NVFP4 FreeToken
Repository 🤗	https://huggingface.co/qualitymaterial/Qwen3.8-35B-A3B-Distill-NVFP4-FreeToken
Base Model(s)	empero-ai/Qwen3.8-35B-A3B-Distill empero-ai/Qwen3.8-35B-A3B-Distill
Model Size	35b
Required VRAM	22 GB
Updated	2026-10-06
Maintainer	qualitymaterial
Model Type	qwen3_5_moe
Model Files	2.6 GB: 1-of-21 1.1 GB: 2-of-21 1.0 GB: 3-of-21 0.9 GB: 4-of-21 1.0 GB: 5-of-21 0.9 GB: 6-of-21 1.0 GB: 7-of-21 0.9 GB: 8-of-21 1.0 GB: 9-of-21 0.9 GB: 10-of-21 1.0 GB: 11-of-21 0.9 GB: 12-of-21 1.0 GB: 13-of-21 0.9 GB: 14-of-21 1.0 GB: 15-of-21 0.9 GB: 16-of-21 1.0 GB: 17-of-21 0.9 GB: 18-of-21 1.0 GB: 19-of-21 0.9 GB: 20-of-21 1.2 GB: 21-of-21 1.7 GB
Supported Languages	en
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 35B A3B Distill NVFP4 FreeToken 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 35B A3B Distill NVFP4 FreeToken

Best Alternatives	Context / RAM	Downloads	Likes
....5 35B A3B Sceptic V3 1M W4A16	1024K / 26.1 GB	223	0
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	96	1
Qwen3.6 35B A3B NPU2	256K / GB	107	0
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	1465715	506
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665

Note: green Score (e.g. "73.2") means that the model is better than qualitymaterial/Qwen3.8-35B-A3B-Distill-NVFP4-FreeToken.