lite_llama

RapidLLM is an LLM inference framework with continuous batching, tensor and data parallelism, quantized weights, and with pluggable Triton/CUDA kernels.

harleyszhang/lite_llama

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RapidLLM is an LLM inference framework with continuous batching, tensor and data parallelism, quantized weights, and with pluggable Triton/CUDA kernels.

lite_llama grew +0.0% in the last 30 days, ranks 340th of 494 in Local Runtime / Inference Engine, last commit 15 days ago.

Star trajectory

115 days tracked
2026-07-02195 stars today2026-10-25
Momentum

+0.0% in 30d, below the Local Runtime / Inference Engine median of +1.7%.

Maintenance

Last commit 15 days ago, staler than the median of 5d.

How it compares in Local Runtime / Inference Engine

lite_llama
195
stars
+0.0% 30d
commit 15 days ago
Local Runtime / Inference Engine median
414
stars
+1.7% 30d
commit ~5d ago
Leader · ollama
184.7k
stars
+1.7% 30d
commit today

Ranked 340th of 494 by stars.

Language
Python
License
-
Contributors
4
Forks
33
Watchers
5
Open issues
0
Releases
0
Created
2024-10-06
Stars this week
+0

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