What are the hardware requirements for Qwen3.8 4B Distill?

Qwen3.8 4B Distill requires approximately 9.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 4B Distill and how large is it?

Qwen3.8 4B Distill is developed by empero-ai, a model with 4b 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 4B Distill?

Qwen3.8 4B Distill is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 4B Distill by empero-ai — VRAM 9.3GB

Name: Qwen3.8 4B Distill
Author: empero-ai

Qwen3.8 4B Distill is an open-source language model by empero-ai. Features: 4b LLM, VRAM: 9.3GB, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b Conversational Distillation Empero-ai En Endpoints compatible Function-calling Image-text-to-text Qwen3.5 Qwen3.8 Qwen3 5 Reasoning Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/empero-ai/Qwen3.8-4B-Distill

Qwen3.8 4B Distill Parameters and Internals

LLM Name	Qwen3.8 4B Distill
Repository 🤗	https://huggingface.co/empero-ai/Qwen3.8-4B-Distill
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	9.3 GB
Updated	2026-08-20
Maintainer	empero-ai
Model Type	qwen3_5
Model Files	9.3 GB 0.0 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 4B 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 Qwen3.8 4B Distill

Best Alternatives	Context / RAM	Downloads	Likes
AgentHorse 4B	256K / 8.4 GB	639	7
Qwen3.5 4B	0K / 9.3 GB	6575502	801
NuExtract3	0K / 0.2 GB	441570	324
FrogNano 4B 2609	0K / 9.3 GB	733	113
Agents A1 4B	0K / 9.1 GB	177578	72
Intern Decision 4B	0K / 0.1 GB	338	48
H2o Lightning 4B	0K / 9.1 GB	261	16
Tev1 4B Experimental	0K / 9.3 GB	1539	16
DeskForge Qwen3.5 4B	0K / 9.1 GB	1319	5
Biodecision Tev1 4B	0K / 9.3 GB	678	11

Note: green Score (e.g. "73.2") means that the model is better than empero-ai/Qwen3.8-4B-Distill.