prithivMLmods/Procyon-1.5B-Theorem-GGUF

Procyon-1.5B-Qwen2-Theorem-GGUF

Procyon-1.5B-Qwen2-Theorem is an experimental theorem explanation model fine-tuned on Qwen2-1.5B. Specially crafted for mathematical theorem understanding, structured concept breakdowns, and non-reasoning based explanation tasks, it targets domains where clarity and formal structure take precedence over freeform reasoning.

Model Files

File Name	Size	Format	Description
Procyon-1.5B-Qwen2-Theorem.F32.gguf	7.11 GB	F32	Full precision 32-bit floating point
Procyon-1.5B-Qwen2-Theorem.F16.gguf	3.56 GB	F16	Half precision 16-bit floating point
Procyon-1.5B-Qwen2-Theorem.BF16.gguf	3.56 GB	BF16	Brain floating point 16-bit
Procyon-1.5B-Qwen2-Theorem.Q8_0.gguf	1.89 GB	Q8_0	8-bit quantized
Procyon-1.5B-Qwen2-Theorem.Q6_K.gguf	1.46 GB	Q6_K	6-bit quantized
Procyon-1.5B-Qwen2-Theorem.Q5_K_M.gguf	1.29 GB	Q5_K_M	5-bit quantized, medium quality
Procyon-1.5B-Qwen2-Theorem.Q5_K_S.gguf	1.26 GB	Q5_K_S	5-bit quantized, small quality
Procyon-1.5B-Qwen2-Theorem.Q4_K_M.gguf	1.12 GB	Q4_K_M	4-bit quantized, medium quality
Procyon-1.5B-Qwen2-Theorem.Q4_K_S.gguf	1.07 GB	Q4_K_S	4-bit quantized, small quality
Procyon-1.5B-Qwen2-Theorem.Q3_K_L.gguf	980 MB	Q3_K_L	3-bit quantized, large quality
Procyon-1.5B-Qwen2-Theorem.Q3_K_M.gguf	924 MB	Q3_K_M	3-bit quantized, medium quality
Procyon-1.5B-Qwen2-Theorem.Q3_K_S.gguf	861 MB	Q3_K_S	3-bit quantized, small quality
Procyon-1.5B-Qwen2-Theorem.Q2_K.gguf	753 MB	Q2_K	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):