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int4

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Serving 4-bit Qwen3.8-27B on a single DGX Spark (GB10): 75 tok/s single-stream, 246 tok/s aggregate at 8-way concurrency. NVFP4 vs MixedInt4-AutoRound vs the FP8 baseline, measured on one harness — including why the quantization advantage collapses to +0.2% by c16.

  • Updated Aug 19, 2026
  • Python

⚡️ The fastest way to run local LLMs on Apple Silicon — sub-second model loads, beats Ollama on throughput, tail latency, and full-response time. OpenAI/Ollama-compatible. No cloud, no API keys.

  • Updated Aug 13, 2026
  • Python

Research and training stack for AVA — a tool-using, memory-aware virtual assistant targeting 4 GB VRAM. Spans custom transformers, verifier-RL, external memory, multi-domain benchmarks, and Gemma 4 inference optimization.

  • Updated Jul 25, 2026
  • Python

Low-bit LLM inference engine in Rust + CUDA. Converts models to a 4-bit .wstone format (3.75x smaller) and runs them on consumer GPUs. Built for memory-bandwidth-bound decode on Turing, where bytes per weight — not TOPS — sets token throughput.

  • Updated Jul 29, 2026
  • Rust

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