llama.cpp Merges MTP Optimization Removing Padding and Extra D2D Copies
r/LocalLLaMA top day4 days agoReleasellama.cpp merged PR #24086, which changes ggml_gated_delta_net so MTP passes snapshot count K as an operation parameter instead of deriving it from tensor shape. The change removes a padding workaround and copies emitted snapshots into the recurrent cache with a single strided ggml_cpy. Benchmarks on DGX Spark with Qwen3.6-35B-A3B-UD-Q4_K_M.gguf showed about a 4% throughput gain, with wall time falling from 21.71s to 20.91s.
Unsloth Gemma 4 QAT MTP assistant models now available
r/LocalLLaMA top day5 days agoReleaseA r/LocalLLaMA post notes that Unsloth’s Gemma 4 QAT MTP assistant models are now available in GGUF format. The root directories include q8_0 files named mtp-gemma-4-*.gguf, while MTP folders contain q8_0 and larger quantized variants. The listed releases cover 12B, 26B-A4B, 31B, E2B, E2B mobile, E4B, and E4B mobile it-qat-GGUF repositories.
llama.cpp PR adds MTP support for Gemma-4 E2B and E4B assistants
r/LocalLLaMA top day5 days agoReleaseThe Reddit post links to ggml-org/llama.cpp Pull Request #24282, which adds MTP support for Gemma-4 E2B and E4B assistants. The submitter frames it as useful for tiny Gemma models on phones, low-end machines, Raspberry Pi, or similarly constrained devices. The post does not include benchmarks, merge status, or setup instructions, so it should be treated as a development signal rather than a finished release.
[3090] Gemma4 QAT + MTP quick TPS numbers
r/LocalLLaMA top day6 days agoBenchmarkA r/LocalLLaMA user shared quick throughput numbers for Gemma4 QAT with MTP speculative decoding on an RTX 3090 24GB setup. They report roughly 1.2-1.8x TPS improvement, with Gemma 4 31B moving from about 40 tok/s to 70-80 tok/s. The author frames this as a rough benchmark, using 11 task categories and noting stochastic variation from temp 1.0.
llama.cpp PR #24277 avoids KV cell copies in kv-cache
r/LocalLLaMA top day6 days agoReleaseggml-org/llama.cpp merged PR #24277 by ggerganov, titled “kv-cache: avoid kv cells copies.” The Reddit post says the change improves MTP performance for Gemma-4 and was merged the previous day. It is available starting with the b9551 release, making it relevant for local inference users tracking llama.cpp performance updates.