#multi-token prediction
31 related articles
Tutorials·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.
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Tutorials·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.
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Tech Frontiers·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.
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Industry Insights·2 min
AMD MI355X Beats B200: Full-Stack Optimization Breakdown for 5% Lower TCO on DeepSeek-R1 Inference
AMD Instinct MI355X achieves 5% lower TCO than NVIDIA B200 on DeepSeek-R1 disaggregated inference via SGLang+MoRI full-stack optimization with 1.25x per-GPU throughput.
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Tutorials·3 min
DeepSeek V4 Flash MTP Speculative Decoding Real-World Test: A Guide to 20% Faster Local Inference
Real-world testing of DeepSeek V4 Flash with MTP speculative decoding: ~20% speedup for code generation, minimal gains for text. Covers memory overhead, accuracy differences, Q4 vs Q3 quantization, and full deployment tutorial.
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Tech Frontiers·3 min
xAI Merges with SpaceX, GPT-5.5-Cyber Preview, Gemini 3.1 Flash Released
Musk announces xAI-SpaceX merger as SpaceX AI, OpenAI launches GPT-5.5-Cyber security model, Google releases Gemini 3.1 Flash, and Airbnb reveals AI writes 60% of new code.
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Product Reviews·3 min
Local Deployment of Qwen 3.6 27B on 4×3080Ti: Real-World Coding Test with OpenCode
Real-world test of Qwen 3.6 27B FP8 deployed on 4×3080Ti 16GB modded GPUs with OpenCode for system tool development. Covers hardware setup, inference speed, context management, and productivity gains.
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Product Reviews·1 min
Qwen3.6 27B: Real-World Testing of Three Unconventional Quantized Models — Code Performance +15.8PP, 40B Distillation, 16GB Adaptation
Real-world comparison of three community-built Qwen3.6 27B variants: OmniMerge V4 with +15.8pp code gains, 40B OPUS distilled for roleplay, and a 16GB-optimized version for limited VRAM.
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Tech Frontiers·1 min
Qwen3.6 MTP Acceleration Benchmarked: Single GPU Inference Hits 220 token/s
Qwen3.6 experimental MTP-GGUF benchmarked: single GPU pushes 35B-A3B model to 220 token/s, 1.4x faster with zero accuracy loss. Covers MTP principles, optimal Draft Tokens strategy, and RTX 5090 results.
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Product Reviews·1 min
Qwen 3.6 MTP Real-World Test: The Secret to a 20% Speed Boost with Just Three Parameters
Real-world test of Qwen 3.6 Multi-Token Prediction (MTP): boost inference speed from 34.2 to 41 tokens/s with just three parameters in ik_llama.cpp — zero quality loss, zero extra models.
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Tech Frontiers·4 min
Step 3.5 Flash Deep Dive: How a 196B Parameter Open-Source Model Beat Gemini
Deep dive into StepFun's Step 3.5 Flash: 196B parameter MoE model activating only 11B, 350 tokens/sec coding speed, 256K context window, local deployment ready. How it beats Gemini 3 Flash.
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