What are the hardware requirements for Qwen3.8 9B Coder?

Qwen3.8 9B Coder requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 9B Coder and how large is it?

Qwen3.8 9B Coder is developed by nullsumlabs, a model with 9b 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 9B Coder?

Qwen3.8 9B Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 9B Coder by nullsumlabs — VRAM 0.9GB

Name: Qwen3.8 9B Coder
Author: nullsumlabs

Qwen3.8 9B Coder is an open-source language model by nullsumlabs. Features: 9b LLM, VRAM: 0.9GB, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.35.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-9b Code Codegen Coding Conversational Distillation Empero-ai En Endpoints compatible Function-calling Gguf Image-text-to-text Llama.cpp Lmstudio Q4 Quantized Qwen3.5 Qwen3.8 Reasoning Region:us Sft Vision

Model Card on HF 🤗: https://huggingface.co/nullsumlabs/qwen3.8-9b-coder

Qwen3.8 9B Coder Parameters and Internals

LLM Name	Qwen3.8 9B Coder
Repository 🤗	https://huggingface.co/nullsumlabs/qwen3.8-9b-coder
Base Model(s)	Qwen/Qwen3.5-9B empero-ai/Qwen3.8-9B-Distill Qwen/Qwen3.5-9B empero-ai/Qwen3.8-9B-Distill
Model Size	9b
Required VRAM	0.9 GB
Updated	2026-09-05
Maintainer	nullsumlabs
Model Files	5.8 GB 0.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Generates Code	Yes
Model Architecture	MambaSSM
License	apache-2.0

Rank the Qwen3.8 9B Coder capabilities

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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