Astral-4B-Preview-GGUF

Astral-4B-Preview is a reasoning-centric language model from the Astral series, built on Qwen3-4b-thinking-2507 and fine-tuned on the nvidia/AceReason-1.1-SFT dataset to deliver configurable, step-by-step logical reasoning for research and development use. By including a "Reasoning-level" directive in the system prompt, users can control the model’s depth of reasoning—from direct answers to ultra-detailed reasoning traces—enabling nuanced, structured responses tailored to diverse problem-solving needs. As a preview release, Astral-4B-Preview is ideal for evaluating advanced reasoning capabilities with user-guided depth control in scientific and technical tasks.

Model Files

File Name	Quant Type	File Size
Astral-4B-Preview.BF16.gguf	BF16	8.05 GB
Astral-4B-Preview.F16.gguf	F16	8.05 GB
Astral-4B-Preview.F32.gguf	F32	16.1 GB
Astral-4B-Preview.Q2_K.gguf	Q2_K	1.67 GB
Astral-4B-Preview.Q3_K_L.gguf	Q3_K_L	2.24 GB
Astral-4B-Preview.Q3_K_M.gguf	Q3_K_M	2.08 GB
Astral-4B-Preview.Q3_K_S.gguf	Q3_K_S	1.89 GB
Astral-4B-Preview.Q4_K_M.gguf	Q4_K_M	2.5 GB
Astral-4B-Preview.Q4_K_S.gguf	Q4_K_S	2.38 GB
Astral-4B-Preview.Q5_K_M.gguf	Q5_K_M	2.89 GB
Astral-4B-Preview.Q5_K_S.gguf	Q5_K_S	2.82 GB
Astral-4B-Preview.Q6_K.gguf	Q6_K	3.31 GB
Astral-4B-Preview.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):