What are the hardware requirements for Chinda Qwen3 4B?

Chinda Qwen3 4B requires approximately 8.1 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chinda Qwen3 4B and how large is it?

Chinda Qwen3 4B is developed by iapp, 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 Chinda Qwen3 4B?

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

Chinda Qwen3 4B by iapp — VRAM 8.1GB, 40K context

Name: Chinda Qwen3 4B
Author: iapp

Chinda Qwen3 4B is an open-source language model by iapp. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational Doi:10.57967/hf/5709 En Qwen3 Region:us Safetensors Sharded Tensorflow Th Thai

Model Card on HF 🤗: https://huggingface.co/iapp/chinda-qwen3-4b

Chinda Qwen3 4B Benchmarks

LLME Score: 0.19718

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

🌟 Advertise your project 🚀

Chinda Qwen3 4B Parameters and Internals

LLM Name	Chinda Qwen3 4B
Repository 🤗	https://huggingface.co/iapp/chinda-qwen3-4b
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-11
Maintainer	iapp
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	th en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Chinda Qwen3 4B

Model	Likes	Downloads	VRAM
Chinda Qwen3 4B F32 GGUF	2	46	1 GB

Best Alternatives to Chinda Qwen3 4B

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5292	207
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	4522780	898
GRPO 4 70	256K / 8.1 GB	5	0
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	529167	601
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	994800	78
Nexa AI 4B Instruct	256K / 8 GB	436	2
Tac 1	256K / 8.1 GB	635	0

Note: green Score (e.g. "73.2") means that the model is better than iapp/chinda-qwen3-4b.

Rank the Chinda Qwen3 4B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 55171 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Chinda Qwen3 4B by iapp