SCB 10X · 4B · Dense
Thai/English bilingual chat model built on Qwen 3, 256K context
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2025-09 256K context
Use Cases
chat multilingual code
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 1.8 GB | low | — |
| Q3_K_M | 3 | 2.3 GB | moderate | — |
| Q4_K_M | 4 | 2.5 GB | good | — |
| Q5_K_M | 5 | 3.1 GB | good | — |
| Q6_K | 6 | 3.6 GB | excellent | — |
| Q8_0 | 8 | 4.6 GB | excellent | — |
| F16 | 16 | 8.7 GB | lossless | — |
About this model
Typhoon2.5-Qwen3-4B: Thai Large Language Model (Instruct) - Q4_K_M quantized
Typhoon2.5-Qwen3-4B is a instruct Thai 🇹🇭 large language model with 4 billion parameters, and it is based on Qwen3 4B.
By using this model, you agree to the OpenTyphoon Terms and Conditions and acknowledge the Privacy Notice: https://opentyphoon.ai/tac · https://opentyphoon.ai/privacy
Run
ollama run scb10x/typhoon2.5-qwen3-4b
Performance
