Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.
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Jun 17, 2026
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kv-cache-quantization
Here are 11 public repositories matching this topic...
Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a full web desktop + app store, and auto-clustering across the consumer hardware you already have (Orange/Raspberry Pi, Mac mini, gaming PC).
raspberry-pi privacy offline-first distributed-computing self-hosted orange-pi ai-agents data-sovereignty ai-platform local-first agent-framework apple-silicon llm vllm local-llm llm-inference kv-cache-quantization rockchip-npu turboquant
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Jun 22, 2026 - Python
[ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
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Feb 20, 2025 - Python
Empirical study of KV-cache quantization in self-forcing video generation
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Mar 14, 2026 - Python
W4A4 and INT8 KV-cache quantization for Infinity VAR models. Optimized for high-fidelity generative AI deployment on edge GPUs (e.g. NVIDIA Jetson).
computer-vision pytorch gpu-acceleration quantization model-compression nvidia-jetson inference-optimization edge-ai on-device-ml weight-quantization post-training-quantization autoregressive-models generative-ai kv-cache-quantization activation-quantization visual-autoregressive-model svdquant infinity-var
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Jun 11, 2026 - Python
Measure MLX quantization quality loss — KL divergence, perplexity, top-token agreement for KV cache and weights
python machine-learning metal diagnostics quantization mlx kl-divergence perplexity model-quantization kv-cache apple-silicon llm llm-inference llm-eval kv-cache-quantization mlx-lm quantization-quality
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Jun 18, 2026 - Python
Evaluation harness and norm-direction method for KV cache compression. Cross-model worst-case quality metrics.
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May 16, 2026 - Python
Reproduction of TurboQuant.
transformers quantization kv-cache large-language-models llm-inference kv-cache-quantization polarquant
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Jun 19, 2026 - Python
MLX-native port of KVarN — variance-normalized KV-cache quantization for Apple Silicon. 3.3× compression at 71% FP16 speed, matches FP16 on GSM8K within ~2%.
mac metal transformer quantization mlx kv-cache apple-silicon llm llm-inference kv-cache-quantization apple-ml
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Jun 12, 2026 - Python
Deploy Nemotron 3 Nano 30B with 1M context window on NVIDIA DGX Spark using llama.cpp (Blackwell sm_121, Q4_0 KV cache quantization)
cuda inference aarch64 mamba mixture-of-experts blackwell long-context llama-cpp local-llm gguf kv-cache-quantization nemotron nvidia-dgx-spark 1m-context-window
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Mar 22, 2026 - Shell
Neutral tensor-level KV-cache quantization benchmark: 11 methods as first-class peers, per-metric leaderboards, matched-budget Pareto, multi-seed CI, and per-method fidelity tags.
benchmark machine-learning pytorch quantization inference-optimization kv-cache llm llm-inference kv-cache-quantization
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Jun 8, 2026 - Python
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