#Multi-Token Prediction

24 related articles

Jul 28, 2026·4 min

Colibri: Running a 744-Billion-Parameter LLM on an Ordinary Laptop

Colibri uses MoE hot-cold separation and 4-bit quantization to run 744B-parameter models like GLM 5.2 on consumer hardware. Learn about its three-tier memory architecture and speculative decoding.

Jul 22, 2026·4 min

DeepSeek Open-Sources DeepSpec: A Full-Stack Breakdown of Speculative Decoding

DeepSeek open-sources DeepSpec, a full speculative decoding training and evaluation toolkit featuring three draft model algorithms (Ego3, DeepFlash, DeepSpark), 12 checkpoints, MIT license, and 60–85% real-world speedup.

Jul 17, 2026·4 min

DSpark Open Source: DeepSeek's Inference Acceleration Tech That Doubles LLM Speed

DeepSeek and Peking University open-source DSpark, an inference acceleration technology using semi-autoregressive architecture and dynamic scheduling to boost LLM speed by 50%+ and double GPU concurrency without quality loss.

Jul 15, 2026·4 min

Running Qwen3.6 27B Locally on a Single RTX 3090: A Complete Guide to Cloud-Rivaling Performance

One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.

Jul 13, 2026·4 min

AI Weekly Recap: Four Major Vendors Cut Prices Together, Copilot's Paid Conversion Rate Just 4.5%

In one week, OpenAI, xAI, Google, and Microsoft all cut AI prices, driving near-frontier inference costs sharply lower. Meanwhile, Microsoft Copilot's paid conversion across 450M seats is under 4.5%, exposing the monetization challenge of general AI assistants.

Jul 12, 2026·4 min

Unsloth Releases Qwen3.6 NVFP4 Quantization: 2.5x Faster with Zero Accuracy Loss

Unsloth releases NVFP4 quantization for Qwen3.6 using W4A4 true 4-bit Tensor Core computation, delivering up to 2.5x inference speedup over NVIDIA's official implementation with accuracy matching or exceeding BF16 on benchmarks like MMLU-Pro.

Jul 12, 2026·2 min

SGLang Integrates DSpark: How Confidence-Driven Speculative Decoding Cracks the High-Concurrency Failure Problem

SGLang officially integrates DSpark, solving the core pain point of speculative decoding failure under high-concurrency batches via confidence-driven variable-length verification. Supports Qwen3 and DeepSeek-V4, hitting 383.7 tok/s on B300.

Jul 11, 2026·2 min

Deep Dive into Tencent Hunyuan Hy3: How a 295B MoE Model Cracks the Agent Deployment Challenge

Tencent Hunyuan Hy3 launches with a 295B MoE architecture activating just 21B params and 256K context. Hallucination cut from 12.5% to 5.4%, MRCR nearly doubled, with MTP and EAGLE decoding and Day-0 SGLang support.

Jul 10, 2026·2 min

Tencent Hunyuan V3 Open-Sourced: Full Breakdown of the 295B MoE Architecture — 256K Context Is Its Biggest Weakness

Tencent open-sources Hunyuan V3: 295B MoE model with 21B active params, claims to beat DeepSeek-V4-Pro. Supports FP8, vLLM/SGLang — but 256K context and no multimodal are key drawbacks.

Jul 9, 2026·6 min

Unsloth Major Update: DeepSeek-V4 Support and a Deep Dive into NVFP4 Quantized Export

Unsloth v0.1.481-beta adds full DeepSeek-V4-Flash support, NVFP4/FP8/imatrix GGUF quantized export, 1.3x faster GRPO, 3-5x faster MoE training, and an OpenAI-compatible API service in Studio.

Jul 9, 2026·5 min

DeepSeek DSpec Hands-On: How Speculative Decoding Accelerates LLM Inference by 6x

Hands-on report on DeepSeek's open-source inference acceleration toolkit DSpec: draft model + smart scheduling delivers lossless speedup, hitting acceptance length 6 on GSM8K and reproducing official data.

Jul 8, 2026·2 min

Unsloth v0.1.45 Released: Gemma 4 MTP Acceleration, Cross-Platform Fixes, and Studio Upgrades

Unsloth v0.1.45-beta adds Gemma 4 MTP support, AMD ROCm & NVIDIA Blackwell fixes, a new Hub download manager, and a compact RAG system for local LLM fine-tuning.

Jul 8, 2026·2 min

Zhipu GLM 5.2 Deep Dive: Can Open-Weight Models Challenge Top Closed-Source AI?

Zhipu GLM 5.2 review: open weights released within 24hrs, built for long-horizon Agent tasks. Strong benchmarks, standout writing & frontend design, at a fraction of closed-model pricing.

Jul 7, 2026·3 min

Unsloth Major Update: GLM-5.2 Support, 3x Longer Context, and a New Model Hub

Unsloth v0.1.471-beta adds full GLM-5.2 support, 3x longer context (up to 200K tokens on a single GPU), a new Model Hub, and Chat Canvas — a major leap for local LLM fine-tuning.

Jul 7, 2026·3 min

Unsloth Major Update: DiffusionGemma & Gemma 4 MTP Support, 2x Inference Speed Boost

Unsloth v0.1.464-beta adds DiffusionGemma, Gemma 4 MTP, and MiniMax-M3 support, delivering ~2x inference speed boost, new Hub, RAG Q&A, tensor parallelism, and full CUDA/ROCm/Windows coverage.

Jun 27, 2026·3 min

Qwen3.6 Unofficial Derivative Models: 34B Depth Extension and 14B Extreme Compression Explained

Deep analysis of two Qwen3.6 community derivatives: 27B extended to 34B with 80 layers for better reasoning and distillation, and 35B MoE compressed to 14B for 8GB GPU local deployment.

The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex

Deep Dives

Jun 3, 2026·2 min

The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex

Analyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.

llama.cpp MTP Acceleration Deployment Guide: Configuration Steps & Real-World Benchmarks

Tutorials

Jun 2, 2026·3 min

llama.cpp MTP Acceleration Deployment Guide: Configuration Steps & Real-World Benchmarks

Guide to enabling MTP multi-Token prediction acceleration in llama.cpp, covering CUDA setup, desktop configuration, model selection, and benchmarks showing ~60 Token/s with Qwen3 27B.

oMLX + MTP + Qwen3.6: Local AI Coding Speed Breaks New Records

Tutorials

Jun 1, 2026·3 min

oMLX + MTP + Qwen3.6: Local AI Coding Speed Breaks New Records

Using oMLX with MTP and Qwen3.6 35B on Apple Silicon Mac to achieve 86.7 tokens/s local coding speed, building a full-stack app in under 5 minutes.

SGLang v0.5.12.post1 Released: DeepSeek V4 Stability Fixes and Blackwell Adaptation

Tech Frontiers

May 30, 2026·2 min

SGLang v0.5.12.post1 Released: DeepSeek V4 Stability Fixes and Blackwell Adaptation

SGLang v0.5.12.post1 stability patch details: 12 critical fixes covering DeepSeek V4 garbled text and crashes, NIXL PD disaggregated inference logic, Blackwell B300 adaptation, and cold start optimization.