What are the hardware requirements for Qwen3.8 Max Reasoning Distilled?

Qwen3.8 Max Reasoning Distilled requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Max Reasoning Distilled and how large is it?

Qwen3.8 Max Reasoning Distilled is developed by khazarai, a model with 0.8b 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 Max Reasoning Distilled?

Qwen3.8 Max Reasoning Distilled is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 Max Reasoning Distilled by khazarai — VRAM 1.8GB

Name: Qwen3.8 Max Reasoning Distilled
Author: khazarai

Qwen3.8 Max Reasoning Distilled is an open-source language model by khazarai. Features: 0.8b LLM, VRAM: 1.8GB, License: apache-2.0, LLM Explorer Score: 0.25.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3.5-0.8... Conversational En Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/khazarai/Qwen3.8-max-Reasoning-Distilled

Qwen3.8 Max Reasoning Distilled Parameters and Internals

LLM Name	Qwen3.8 Max Reasoning Distilled
Repository 🤗	https://huggingface.co/khazarai/Qwen3.8-max-Reasoning-Distilled
Base Model(s)	unsloth/Qwen3.5-0.8B unsloth/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.8 GB
Updated	2026-09-01
Maintainer	khazarai
Model Type	qwen3_5
Model Files	1.8 GB: 1-of-1
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Qwen3.8 Max Reasoning Distilled 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 Max Reasoning Distilled

Model	Likes	Downloads	VRAM
...8 Max Reasoning Distilled GGUF	1	746	0 GB

Best Alternatives to Qwen3.8 Max Reasoning Distilled

Best Alternatives	Context / RAM	Downloads	Likes
OvisOCR2	0K / 1.7 GB	184769	498
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
OvisOCR3	0K / 1.7 GB	529	60
MinerU2.5 Flash 0.8B	0K / 1.7 GB	23	1
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
Qev 0.8B	0K / 1.7 GB	289	13
Xiaomi OCR 0	0K / 1.8 GB	933	15
Tev1 0.8B Onnx Webgpu	0K / GB	1336	1
OneJev 0.8B	0K / 2.2 GB	1101	2

Note: green Score (e.g. "73.2") means that the model is better than khazarai/Qwen3.8-max-Reasoning-Distilled.