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SqueezeAILab/LLMCompiler

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

Latest metrics (snapshot 2026-10-15)

stars1896
forks139
issues7
pushed_at2024-07-10T04:39:34Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-151896

ADC Momentum: 27/100

ADC Momentum 27 Leaderboard

Growth velocity44
Consistency35
Recency0
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

description[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
urlhttps://github.com/SqueezeAILab/LLMCompiler
languagePython
licenseMIT
topicsefficient-inference
function-calling
large-language-models
llama
llama2
llm
llm-agent
llm-agents
llm-framework
llms
natural-language-processing
nlp
created_at2023-12-06T21:12:54Z
homepagehttps://arxiv.org/abs/2312.04511

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