sam860/
lucy:1.7b

68 1 month ago

A compact model focused on agentic web search

tools 1.7b

1 month ago

149297041268 · 1.8GB ·

model
qwen3
·
1.72B
·
Q8_0
params
{ "repeat_penalty": 1, "stop": [ "<|im_start|>", "<|im_end|>" ], "te
template
{{- if .Messages }} {{- if or .System .Tools }}<|im_start|>system {{- if .System }} {{ .System }} {{

Readme

Notes

Lucy is a compact but capable 1.7B model focused on agentic web search and lightweight browsing, developed by Menlo Research.

  • Temp: The official recommendation is a higher temp (0.7), which makes sense for its creative/search-agent role. Start there, but lower it to ~0.5 if you need more deterministic outputs.

Description

Lucy (1.7B) — A compact, agentic model for web search and lightweight browsing. Built on Qwen3-1.7B and optimized with machine-generated task vectors and pure RL, it’s designed to run efficiently on mobile/CPU devices.

Ideal for: - Agentic web search (using tools like Serper) - Lightweight web browsing and data extraction - On-device AI for mobile or low-resource setups

References

HuggingFace