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Chinda Qwen3 4B by iapp

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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: 0.21.

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: 0.20574
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chinda Qwen3 4B (iapp/chinda-qwen3-4b)
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Chinda Qwen3 4B Parameters and Internals

LLM NameChinda Qwen3 4B
Repository 🤗https://huggingface.co/iapp/chinda-qwen3-4b 
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2026-04-17
Maintaineriapp
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesth en
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.52.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Chinda Qwen3 4B

Model
Likes
Downloads
VRAM
Chinda Qwen3 4B F32 GGUF21701 GB

Best Alternatives to Chinda Qwen3 4B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Thinking 2507256K / 8.1 GB1676918575
GRPO 4 70256K / 8.1 GB200
Qwen3 4B Instruct 2507256K / 8.1 GB9735996813
QED Nano256K / 8.1 GB681686
Lightning 4B256K / 8.1 GB136
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB71535873
Jan Code 4B256K / 8.9 GB48975
AgentCPM Explore256K / 8.9 GB134412
...en3.6 Plus Reasoning Distilled256K / 8.1 GB10873
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  

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