Lucy-f32-GGUF
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):
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