sam860/lucy:Q5_K

sam860/ lucy:Q5_K_M

276 Downloads Updated 5 months ago

A compact model focused on agentic web search

tools 1.7b

ollama run sam860/lucy:Q5_K_M

curl http://localhost:11434/api/chat \
  -d '{
    "model": "sam860/lucy:Q5_K_M",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='sam860/lucy:Q5_K_M',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'sam860/lucy:Q5_K_M',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 5 months ago

5 months ago

78282bae5f72 · 1.3GB ·

model

archqwen3

parameters1.72B

quantizationQ5_K_M

1.3GB

params

{ "repeat_penalty": 1, "stop": [ "<|im_start|>", "<|im_end|>" ], "te

99B

template

{{- if .Messages }} {{- if or .System .Tools }}<|im_start|>system {{- if .System }} {{ .System }} {{

1.5kB

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