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wire 2026-09-25
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Ollama eases off typical_p, llama.cpp lands Vulkan int8 tensor cores

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

Ollama downgraded typical_p from a hard API rejection to a warning, while llama.cpp put integer tensor cores to work on AMD and Qualcomm Vulkan paths and vLLM began reporting reasoning tokens it had been silently zeroing.

api: deprecate typical_p (#18627) ollama/ollama

by Daniel Hiltgen

Ollama's API used to reject requests carrying the deprecated typical_p parameter; it now logs a warning instead, so clients that still send it keep working. Model creation still rejects the parameter, meaning the deprecation is only half-parsed by the API surface.

vulkan: int8 coopmat1 matmul implementation for AMD RDNA3 and RDNA4 (#27952) ggml-org/llama.cpp

by Ruben Ortlam

llama.cpp added an int8 cooperative-matrix quantized matmul shader for AMD RDNA3 and RDNA4, with q8_0 support, preloaded scales, and workgroup scheduling for cache. Most devices' int8 tensor cores have higher throughput than the fp16 instructions the Vulkan backend previously used for all matrix-core GEMM.

[Perf] Batch Mamba2 prefill SSM state saves, removing GPU<->CPU syncs vllm-project/vllm

by samuelkim7

The per-sequence Python loop that saved block-aligned SSM states in MambaMixer2.conv_ssm_forward is gone, and with it the four .tolist() calls that forced GPU-to-CPU syncs on every prefill. The writes now collapse into one pair of index tensors and a single indexed copy.

[Bugfix][Frontend] Count reasoning tokens for Harmony, DeepSeek-V3 and Step3 parsers vllm-project/vllm

by sammaji

The Wire's own reporting caught this one: /v1/chat/completions always reported completion_tokens_details.reasoning_tokens as 0 for gpt-oss, because HarmonyParser never overrode count_reasoning_tokens and the call fell through to GptOssReasoningParser. /v1/responses had been counting correctly, so this reconciles the two endpoints for Harmony, DeepSeek-V3, and Step3.

Fix mixed chunk prefill with DP speculative coordination sgl-project/sglang

by Oasis-Git

SGLang removed a guard that raised "Local mixed prefill/verify is not implemented" when a prefill rank held local decode requests, so mixed-chunk ranks can now run prefill with one-token local decode progress while decode-only peers keep speculative decoding. The unit test asserting the old rejection was deleted and replaced with a standalone GPU regression test. Elsewhere: MLX fixed CPU/GPU so...

Quick answers

What shipped in Local LLMs on September 25, 2026?
Ollama downgraded typical_p from a hard API rejection to a warning, while llama.cpp put integer tensor cores to work on AMD and Qualcomm Vulkan paths and vLLM began reporting reasoning tokens it had been silently zeroing. In total, 127 commits, 127 pull requests, and 11 releases landed.
Who contributed to Local LLMs on September 25, 2026?
17 developers shipped this update, including ParthSareen, Daniel Hiltgen, 0cc4m, Raman Shinde, leejet, ngxson, Robert Shaw, and samuelkim7, and 9 more.
What were the notable Local LLMs updates?
api: deprecate typical_p (#18627), vulkan: int8 coopmat1 matmul implementation for AMD RDNA3 and RDNA4 (#27952), and [Perf] Batch Mamba2 prefill SSM state saves, removing GPU<->CPU syncs.