Tooling
BeeLlama v0.2.0 ships 4.4x token throughput gains on RTX 3090
BeeLlama v0.2.0 delivers major performance improvements for local LLM inference, achieving 163.9 tokens/second on Qwen 3.6 27B—a 4.4x speedup over baseline llama.cpp on a single RTX 3090.
1 min read
Sourcer/localllama
BeeLlama v0.2.0 released with a major update to its DFlash speculative decoding implementation, delivering substantial token-per-second gains for local model inference on consumer hardware. [The update achieves 163.9 tokens/second on Qwen 3.6 27B](https://www.reddit.com/r/LocalLLaMA/comments/1tkpz2y...
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Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- r/localllama
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai