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bombman/
ChindaMT-4B-GGUF

Name: ChindaMT-4B-GGUF
Availability: InStock

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🇹🇭 ChindaMT-4B GGUF

GGUF conversion of iapp/ChindaMT-4B for:

llama.cpp
Ollama
LM Studio
Open WebUI
Local AI workflows

ChindaMT-4B is a Thai-focused LLM developed by iApp Technology, optimized for Thai language understanding, reasoning, and local AI deployment.

📦 Available Quantizations

Quant	Quality	Speed	RAM Usage	Recommended For
F16	Best	Slow	High	Benchmark / Fine-tune
Q8_0	Excellent	Medium	Medium-High	High-end GPU
Q4_K_M	Very Good	Fast	Medium	Daily usage ⭐
Q4_K_S	Good	Very Fast	Low	Laptop / Edge device

⭐ Recommended Version

Q4_K_M

Best balance between:

Quality
Speed
Memory usage

📥 Download

Available files:

text

ChindaMT-4B-F16.gguf
ChindaMT-4B-Q8_0.gguf
ChindaMT-4B-Q4_K_M.gguf
ChindaMT-4B-Q4_K_S.gguf

🚀 Usage

llama.cpp

CLI

bash

./llama-cli \
  -m ChindaMT-4B-Q4_K_M.gguf \
  -p "สวัสดี ช่วยอธิบาย quantum computing แบบง่าย"

Server

bash

./llama-server \
  -m ChindaMT-4B-Q4_K_M.gguf \
  --host 0.0.0.0 \
  --port 8080

🦙 Ollama

Create Modelfile

FROM ./ChindaMT-4B-Q4_K_M.gguf

Build

ollama create chindamt -f Modelfile

Run

ollama run chindamt

💻 LM Studio

Open LM Studio
Go to Models
Import .gguf
Select quantization
Start chatting

Recommended:

Q4_K_M for most users
Q8_0 if you have more VRAM

⚡ Hardware Recommendation

Quant	Recommended RAM
Q4_K_S	6GB+
Q4_K_M	8GB+
Q8_0	12GB+
F16	16GB+

GPU acceleration supported:

CUDA
Vulkan
Metal
ROCm

🧠 Quantization Notes

F16

Highest quality and accuracy.

Best for:

Benchmarking
Fine-tuning
Powerful GPUs

Q8_0

Very close to F16 quality with reduced memory usage.

Best for:

Workstations
Desktop GPUs

Q4_K_M ⭐

Best overall balance.

Most recommended quantization for:

Daily usage
AI agents
Local assistants

Q4_K_S

Smallest and fastest version.

Best for:

Laptops
Raspberry Pi
Low RAM systems

🔥 Suggested Use Cases

Thai AI Assistant
Coding Assistant
Local RAG
Obsidian AI
Open WebUI
n8n AI Workflow
Autonomous Agent
Raspberry Pi AI

📊 Base Model

Base: Qwen3-4B
Optimized for Thai language
Developed by iApp Technology
License: Apache 2.0

Official links:

📜 License

Apache 2.0

Commercial use allowed.

🙌 Credits

iApp Technology
Qwen Team
llama.cpp
GGUF community

❤️ Thai Open Source AI

Built for Thai developers 🇹🇭

bombman/ChindaMT-4B-GGUF

🇹🇭 ChindaMT-4B GGUF

📦 Available Quantizations

⭐ Recommended Version

Q4_K_M

📥 Download

🚀 Usage

llama.cpp

CLI

Server

🦙 Ollama

Create Modelfile

Build

Run

💻 LM Studio

⚡ Hardware Recommendation

🧠 Quantization Notes

F16

Q8_0

Q4_K_M ⭐

Q4_K_S

🔥 Suggested Use Cases

📊 Base Model

📜 License

🙌 Credits

❤️ Thai Open Source AI

bombman/
ChindaMT-4B-GGUF