Mintaka-Qwen3-1.6B-V3.1-GGUF

Mintaka-Qwen3-1.6B-V3.1 is a high-efficiency, science-focused reasoning model based on Qwen-1.6B and trained on DeepSeek v3.1 synthetic traces (10,000 entries). It is optimized for random event simulation, logical-problem analysis, and structured scientific reasoning. The model balances symbolic precision with lightweight deployment, making it suitable for researchers, educators, and developers seeking efficient reasoning under constrained compute.

Model Files

File Name	Quant Type	File Size
Mintaka-Qwen3-1.6B-V3.1.BF16.gguf	BF16	3.45 GB
Mintaka-Qwen3-1.6B-V3.1.F16.gguf	F16	3.45 GB
Mintaka-Qwen3-1.6B-V3.1.F32.gguf	F32	6.89 GB
Mintaka-Qwen3-1.6B-V3.1.Q2_K.gguf	Q2_K	778 MB
Mintaka-Qwen3-1.6B-V3.1.Q3_K_L.gguf	Q3_K_L	1 GB
Mintaka-Qwen3-1.6B-V3.1.Q3_K_M.gguf	Q3_K_M	940 MB
Mintaka-Qwen3-1.6B-V3.1.Q3_K_S.gguf	Q3_K_S	867 MB
Mintaka-Qwen3-1.6B-V3.1.Q4_0.gguf	Q4_0	1.05 GB
Mintaka-Qwen3-1.6B-V3.1.Q4_1.gguf	Q4_1	1.14 GB
Mintaka-Qwen3-1.6B-V3.1.Q4_K.gguf	Q4_K	1.11 GB
Mintaka-Qwen3-1.6B-V3.1.Q4_K_M.gguf	Q4_K_M	1.11 GB
Mintaka-Qwen3-1.6B-V3.1.Q4_K_S.gguf	Q4_K_S	1.06 GB
Mintaka-Qwen3-1.6B-V3.1.Q5_0.gguf	Q5_0	1.23 GB
Mintaka-Qwen3-1.6B-V3.1.Q5_1.gguf	Q5_1	1.32 GB
Mintaka-Qwen3-1.6B-V3.1.Q5_K.gguf	Q5_K	1.26 GB
Mintaka-Qwen3-1.6B-V3.1.Q5_K_M.gguf	Q5_K_M	1.26 GB
Mintaka-Qwen3-1.6B-V3.1.Q5_K_S.gguf	Q5_K_S	1.23 GB
Mintaka-Qwen3-1.6B-V3.1.Q6_K.gguf	Q6_K	1.42 GB
Mintaka-Qwen3-1.6B-V3.1.Q8_0.gguf	Q8_0	1.83 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):