Capella-Qwen3-DS-V3.1-4B is a reasoning-focused model fine-tuned on Qwen-4B using DeepSeek v3.1 synthetic traces (10K). It specializes in random event simulations, logical problem analysis, and structured reasoning tasks. The model blends symbolic precision, probabilistic logic, and structured output fluency—making it an ideal tool for researchers, educators, and developers working with uncertainty modeling and event-driven analysis.
Model Files
File Name
Quant Type
File Size
Capella-Qwen3-DS-V3.1-4B.BF16.gguf
BF16
8.05 GB
Capella-Qwen3-DS-V3.1-4B.F16.gguf
F16
8.05 GB
Capella-Qwen3-DS-V3.1-4B.F32.gguf
F32
16.1 GB
Capella-Qwen3-DS-V3.1-4B.Q2_K.gguf
Q2_K
1.67 GB
Capella-Qwen3-DS-V3.1-4B.Q3_K_L.gguf
Q3_K_L
2.24 GB
Capella-Qwen3-DS-V3.1-4B.Q3_K_M.gguf
Q3_K_M
2.08 GB
Capella-Qwen3-DS-V3.1-4B.Q3_K_S.gguf
Q3_K_S
1.89 GB
Capella-Qwen3-DS-V3.1-4B.Q4_K_M.gguf
Q4_K_M
2.5 GB
Capella-Qwen3-DS-V3.1-4B.Q4_K_S.gguf
Q4_K_S
2.38 GB
Capella-Qwen3-DS-V3.1-4B.Q5_K_M.gguf
Q5_K_M
2.89 GB
Capella-Qwen3-DS-V3.1-4B.Q5_K_S.gguf
Q5_K_S
2.82 GB
Capella-Qwen3-DS-V3.1-4B.Q6_K.gguf
Q6_K
3.31 GB
Capella-Qwen3-DS-V3.1-4B.Q8_0.gguf
Q8_0
4.28 GB
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):