What are the hardware requirements for Qwen3.5 4B Super Coder?

Qwen3.5 4B Super Coder requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B Super Coder and how large is it?

Qwen3.5 4B Super Coder is developed by jica98, 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 Qwen3.5 4B Super Coder?

Qwen3.5 4B Super Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B Super Coder by jica98 — VRAM 0.1GB

Name: Qwen3.5 4B Super Coder
Rating: 1.75 (4 reviews)
Author: jica98

Qwen3.5 4B Super Coder is an open-source language model by jica98. Features: 4b LLM, VRAM: 0.1GB, Quantized, LLM Explorer Score: 0.34.

Adapter Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-4b Coding Conversational Endpoints compatible Finetuned Gated-deltanet Gguf Llama-cpp Lora Mobile-fit Quantized Qwen3 5 Region:us Safetensors Thinking-mode Tool-calling Unsloth

Model Card on HF 🤗: https://huggingface.co/jica98/qwen3.5-4B-super-coder

Qwen3.5 4B Super Coder Parameters and Internals

LLM Name	Qwen3.5 4B Super Coder
Repository 🤗	https://huggingface.co/jica98/qwen3.5-4B-super-coder
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	0.1 GB
Updated	2026-08-05
Maintainer	jica98
Model Files	0.1 GB 0.7 GB 2.6 GB 0.0 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Adapter
Model Max Length	262144
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|gate_proj\|q_proj\|v_proj\|up_proj\|k_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16
Errors	replace

Rank the Qwen3.5 4B Super 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

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