MTPLX
3x faster speeds on MLX | Qwen 3.8 27B | Native MTP Speculative Decoding On Apple Silicon With No External Drafter.
Learn how batched MTP decode works in MTPLX's mtp_batch lane. Explore its three-stage pipeline: job creation, cohort formation, and decode window measurement for efficient processing.
What Is the Compiled Verify Bank and How Does Chunked Prefill Work in MTPLX?Discover the compiled verify bank and chunked prefill in MTPLX. Accelerate speculative decoding with GPU verification and optimize pipeline efficiency by splitting long prompts.
How to Configure Retrieval Models with Security Gates and Remote Code Trust in MTPLXLearn to configure retrieval models with security gates and remote code trust in MTPLX. Enhance your model security by following this simple guide for the youssofal/MTPLX repository.
How MTPLX Handles Fan Control via ThermalForge and Crash RecoveryDiscover how MTPLX fan control uses ThermalForge and a watchdog for reliable operation. Learn about crash recovery ensuring automatic fan curves persist even after process failure.
Laguna-S-2.1 Memory Requirements in MTPLX: Complete Hardware GuideDiscover Laguna-S-2.1 memory requirements for MTPLX. Learn the exact RAM needed for model weights, runtime, KV-cache, and system reserve to ensure smooth operation.
How the MTPLX AIME Benchmark Runner Works: Architecture, State Machine, and PromptsExplore the MTPLX AIME benchmark runner an OpenAI-compatible state-machine evaluator. Learn how it processes problems and extracts answers using format-contract prompts.
How MTPLX Handles Tool Calling Differently for OpenAI vs Anthropic APIsExplore how MTPLX unifies OpenAI and Anthropic tool calling with dialect detection and bidirectional translation. Learn about its unique parsing architecture for seamless API integration.
Qwen 3.8 Bare Speed vs Optimized Speed vs Optimized Quality: Complete MTPLX Build GuideDiscover Qwen 3.8 Bare Speed, Optimized Speed, and Optimized Quality builds in this MTPLX guide. Understand quantization differences for latency, performance, and quality.
How the Paged KV Cache Works in MTPLX: Architecture and ImplementationExplore the paged KV cache in MTPLX. Learn about its 4D tensor layout, lazy allocation, dynamic growth, and quantization support for efficient vLLM-Metal kernel integration.
How MTPLX's Memory Plan Decode System Manages VRAM to Prevent Metal OOM ErrorsMTPLX's memory plan decode system prevents Metal OOM errors by dynamically managing VRAM, partitioning memory, and shrinking caches as KV grows.
Deepseek V4 OLoRA and Attention Island Patching in MTPLX: Implementation GuideLearn how Deepseek V4 OLoRA and attention island patching in MTPLX enable memory-efficient inference and modular upgrades. Implement these techniques for faster, more adaptable AI models.
How Vision Models Work with MTP in MTPLX: MROPE and Vision Splice ExplainedDiscover how vision models in MTPLX leverage MTP, MROPE, and Vision Splice for seamless image and text token alignment in draft generation. Learn about embedding injection and 3-D positional encoding.
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