Chinda-Qwen3-4B-F32-GGUF
Chinda Opensource Thai LLM 4B is iApp Technology's cutting-edge Thai language model that brings advanced thinking capabilities to the Thai AI ecosystem. Built on the latest Qwen3-4B architecture, Chinda represents our commitment to developing sovereign AI solutions for Thailand.
Model Files
| File | Size | Format |
|---|---|---|
| Chinda-Qwen3-4B-F32.F32.gguf | 16.1 GB | 32-bit float |
| Chinda-Qwen3-4B-F32.BF16.gguf | 8.05 GB | BFloat16 |
| Chinda-Qwen3-4B-F32.F16.gguf | 8.05 GB | 16-bit float |
| Chinda-Qwen3-4B-F32.Q8_0.gguf | 4.28 GB | 8-bit quantized |
| Chinda-Qwen3-4B-F32.Q6_K.gguf | 3.31 GB | 6-bit quantized |
| Chinda-Qwen3-4B-F32.Q5_K_M.gguf | 2.89 GB | 5-bit quantized (medium) |
| Chinda-Qwen3-4B-F32.Q5_K_S.gguf | 2.82 GB | 5-bit quantized (small) |
| Chinda-Qwen3-4B-F32.Q4_K_M.gguf | 2.5 GB | 4-bit quantized (medium) |
| Chinda-Qwen3-4B-F32.Q4_K_S.gguf | 2.38 GB | 4-bit quantized (small) |
| Chinda-Qwen3-4B-F32.Q3_K_L.gguf | 2.24 GB | 3-bit quantized (large) |
| Chinda-Qwen3-4B-F32.Q3_K_M.gguf | 2.08 GB | 3-bit quantized (medium) |
| Chinda-Qwen3-4B-F32.Q3_K_S.gguf | 1.89 GB | 3-bit quantized (small) |
| Chinda-Qwen3-4B-F32.Q2_K.gguf | 1.67 GB | 2-bit quantized |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
- Downloads last month
- 319
Hardware compatibility
Log In
to view the estimation
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit
16-bit
32-bit
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support