What are the hardware requirements for Mini Coder 4B?

Mini Coder 4B requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mini Coder 4B and how large is it?

Mini Coder 4B is developed by ricdomolm, 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 Mini Coder 4B?

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

Mini Coder 4B by ricdomolm — VRAM 8.1GB, 256K context

Name: Mini Coder 4B
Author: ricdomolm

Mini Coder 4B is an open-source language model by ricdomolm. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: mit, Instruction-Based, Code Generating, LLM Explorer Score: 0.2.

Arxiv:2603.22404 Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Code Codegen Conversational Dataset:ricdomolm/mini-coder-t... Endpoints compatible Instruct Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ricdomolm/mini-coder-4b

Mini Coder 4B Parameters and Internals

LLM Name	Mini Coder 4B
Repository 🤗	https://huggingface.co/ricdomolm/mini-coder-4b
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-05
Maintainer	ricdomolm
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Generates Code	Yes
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.56.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Mini Coder 4B 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 Mini Coder 4B

Model	Likes	Downloads	VRAM
Mini Coder 4B OptiQ 4bit	1	310	3 GB

Best Alternatives to Mini Coder 4B

Best Alternatives	Context / RAM	Downloads	Likes
...DER Instruct 12B Brainstorm20x	40K / 47.3 GB	41	3
...ODER Instruct 6B Brainstorm20x	40K / 11.9 GB	10	0