Lucy is a compact but capable 1.7B model focused on agentic web search and lightweight browsing. Built on Qwen3-1.7B, Lucy inherits deep research capabilities from larger models while being optimized to run efficiently on mobile devices, even with CPU-only configurations, achieved this through machine-generated task vectors that optimize thinking processes, smooth reward functions across multiple categories, and pure reinforcement learning without any supervised fine-tuning.
Model Files
File Name
Size
Quant Type
Lucy.F32.gguf
6.89 GB
F32
Lucy.BF16.gguf
3.45 GB
BF16
Lucy.F16.gguf
3.45 GB
F16
Lucy.Q8_0.gguf
1.83 GB
Q8_0
Lucy.Q6_K.gguf
1.42 GB
Q6_K
Lucy.Q5_K_M.gguf
1.26 GB
Q5_K_M
Lucy.Q5_K_S.gguf
1.23 GB
Q5_K_S
Lucy.Q4_K_M.gguf
1.11 GB
Q4_K_M
Lucy.Q4_K_S.gguf
1.06 GB
Q4_K_S
Lucy.Q3_K_L.gguf
1 GB
Q3_K_L
Lucy.Q3_K_M.gguf
940 MB
Q3_K_M
Lucy.Q3_K_S.gguf
867 MB
Q3_K_S
Lucy.Q2_K.gguf
778 MB
Q2_K
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):