LLM inference stack in NumPy - attention, KV cache, paged attention, continuous batching, speculative decoding, quantization, sampling, and a toy engine.

continuous-batching flash-attention kv-cache llm llm-inference ml-systems numpy paged-attention quantization speculative-decoding transformers
3 Open Issues Need Help Last updated: Oct 27, 2026

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LLM inference stack in NumPy - attention, KV cache, paged attention, continuous batching, speculative decoding, quantization, sampling, and a toy engine.

Python
#continuous-batching#flash-attention#kv-cache#llm#llm-inference#ml-systems#numpy#paged-attention#quantization#speculative-decoding#transformers
help wanted

LLM inference stack in NumPy - attention, KV cache, paged attention, continuous batching, speculative decoding, quantization, sampling, and a toy engine.

Python
#continuous-batching#flash-attention#kv-cache#llm#llm-inference#ml-systems#numpy#paged-attention#quantization#speculative-decoding#transformers
good first issue

LLM inference stack in NumPy - attention, KV cache, paged attention, continuous batching, speculative decoding, quantization, sampling, and a toy engine.

Python
#continuous-batching#flash-attention#kv-cache#llm#llm-inference#ml-systems#numpy#paged-attention#quantization#speculative-decoding#transformers