A lightweight, educational LLM inference engine for studying continuous batching, paged KV cache, chunked prefill, and online serving.
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Updated
Jun 20, 2026 - Python
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paged-kv-cache
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A from scratch LLM inference engine build in PyTorch with custom GPT2 transformers, kv cache, paged kv cache, continuous batching and A100 benchmarks
nlp deep-learning transformers autoregressive inference-engine model-serving fastapi gpt2 kv-cache llm llm-serving llm-inference paged-attention mistral-7b continuous-batching paged-kv-cache
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May 8, 2026 - Python
A learning-oriented single-GPU LLM inference runtime with reproducible RTX 5060 experiments.
cuda pytorch llm-inference openai-compatible-api ai-infrastructure continuous-batching cuda-graphs paged-kv-cache
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Updated
Aug 11, 2026 - Python
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