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wire 2026-09-20
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Metal MoE/SSM fusion lands, MiMo-V2.5 fp8 sharding fixed

By RepoJournal · Filed · About Local LLMs · Composed from the cited sources · methodology

llama.cpp's Metal backend catches up to CUDA and Vulkan on MoE routing fusion, vLLM repairs a checkpoint that would not load at any tensor-parallel size, and sglang spends the day shaving DeepSeek-V4 overhead.

metal : add MoE and SSM_CONV fusion optimizations ggml-org/llama.cpp

by ggerganov

Metal now fuses SOFT_MAX + ARGSORT + GET_ROWS with optional norm and scale so the kernel writes selected expert ids and routing weights directly, eliding the separate softmax, argsort, get-rows, sum-rows, clamp, div and scale passes, matching what CUDA and Vulkan already do. The same change adds MUL + expert-view + ADD reduction fusion, RMS_NORM + SCALE, SSM_CONV + UNARY (silu), and moves runti...

[Bugfix][Model] Fix MiMo-V2.5 fused fp8 qkv_proj sharding (pre-shard count is num_key_value_heads; MTP path too) vllm-project/vllm

by vllmellm

XiaomiMiMo/MiMo-V2.5 could not load on main at any TP size, with TP4 on mi355x/mi300x hitting a tensor-size mismatch in _shard_fp8_qkv_proj at mimo_v2.py. The root cause is that the pre-shard count is num_key_value_heads, and the MTP path shares it; the fix is not platform specific, so every platform running that checkpoint is affected.

[CPU][Perf] refactor paged attention for Arm CPUs vllm-project/vllm

by fadara01

Arm CPU paged attention measured up to 25 percent faster in the PR's own numbers after faster GEMM kernels, quicker KV cache packing, prepacking Q during copy, and NEON enabled for block_size % 16. The refactor also removes roughly 100 lines overall and adds an interface letting the attention implementation write softmax probabilities directly in packed format.

[Bugfix] Fix SM100 fp8_ds_mla cache scales vllm-project/vllm

by ScarWar

FlashMLA's fp8_ds_mla cache scale contract is now unified across SM90 and SM100: the 656-byte entry (512 FP8 NoPE values, four FP32 scale fields, a 128-byte BF16 RoPE tail) is unchanged, but each scale field now always stores 2 ** ceil(log2(max(amax / 448, 1e-4))). Power-of-two scales survive both reader conversions exactly, since SM90 converts to BF16 and SM100 to E8M0, which arbitrary FP32 va...

[ROCm][Perf] Enable the AITER GDN decode fast path for flat qkvz layouts vllm-project/vllm

by mjkvaak-amd

AMD's AITER GDN decode fast path was gated on gqa_interleaved_layout, so only Qwen3-Next took it while flat-layout models such as Qwen3.5 and Qwen3.8 fell back to the generic path. A qkvz_layout parameter in ROCm/aiter now selects the source index mapping for both while outputs stay the same.

[Cleanup] Deduplicate kernel tests, diffusion fixtures and benchmark helpers sgl-project/sglang

by BBuf

Elsewhere: sglang removed 1,426 net lines across 26 files deduplicating kernel tests, diffusion fixtures and benchmark helpers while keeping the numerical checks and CI registrations, and it chunked the DeepSeek-V4 indexer MQA logits by query rows under a free-memory budget to avoid the single fp32 [query_rows, align256(max_compressed_seq_len)] allocation.

Quick answers

What shipped in Local LLMs on September 20, 2026?
llama.cpp's Metal backend catches up to CUDA and Vulkan on MoE routing fusion, vLLM repairs a checkpoint that would not load at any tensor-parallel size, and sglang spends the day shaving DeepSeek-V4 overhead. In total, 74 commits, 74 pull requests, and 10 releases landed.
Who contributed to Local LLMs on September 20, 2026?
12 developers shipped this update, including aparmp-quic, Georgi Gerganov, aetherbird, fadara01, gty111, vllmellm, ScarWar, and mjkvaak-amd, and 4 more.
What were the notable Local LLMs updates?
metal : add MoE and SSM_CONV fusion optimizations, [Bugfix][Model] Fix MiMo-V2.5 fused fp8 qkv_proj sharding (pre-shard count is num_key_value_heads; MTP path too), and [CPU][Perf] refactor paged attention for Arm CPUs.