BeeLlama v0.3.1 boosts local LLM performance with DFlash, MTP

BeeLlama v0.3.1, a fork of llama.cpp, has been released with significant performance enhancements. This update integrates features like DFlash, Multi-Threaded Processing (MTP), and new quantization options such as q6_0 cache and TurboQuant. Benchmarks on a single RTX 3090 show substantial speedups, with Qwen 3.6 27B and Gemma 4 31B models achieving up to 177.8 tps, a 4.93x improvement over the baseline. AI

IMPACT Enhances local LLM inference speed and efficiency, enabling more powerful models on consumer hardware.

RANK_REASON This is a software update/fork of an existing project (llama.cpp) with performance improvements and new features, not a novel model release or foundational research.

Read on r/LocalLLaMA →

• BeeLlama
• Gemma 4 31B
• llama.cpp
• noonghunna
• q6_0 cache
• Qwen 3.6 27B
• RTX 3090
• TurboQuant

• product
• infra

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →