test-llama-archs : generate dummy test vocab (#29084) Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-Vision-Exp **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11049/llama-
metal : support qwen4exp hc ops (#29000) Add support for the new DSV4 HC op variants used by qwen4exp: - hc_pre with per-element sigmoid gate (gated variant) - hc_post with identity mixing (comb == nullptr) Assisted-by: pi:llama.cpp/Qwen3.8-27B **Website:** -
Agent 与开发工具通义千问 Qwen Code 发布官方来源 ## Bundled CLI Version This SDK release bundles CLI version: 0.24.1 Source: CLI built from source (same branch/ref as SDK) --- ## Bundled CLI Version This SDK release bundles CLI version: 0.23.3 Source: CLI built from source (same branch/ref as SDK) --- ## Bun
Agent 与开发工具通义千问 Qwen Code 发布官方来源 ## What's Changed * fix(cli): scope the ACP permission queue to the session by @chiga0 in https://github.com/QwenLM/qwen-code/pull/11802 * feat(channels): add shared output modes with DingTalk support by @qqqys in https://github.com/QwenLM/qwen-code/pull/11822
Agent 与开发工具通义千问 Qwen Code 发布官方来源 ## Highlights _See the complete change list below._ ## Breaking Changes - refactor(goal)!: stop emitting the active_goal stream event ([#12181](https://github.com/QwenLM/qwen-code/pull/12181)) by @qqqys ## Complete Change List ### Features - feat(workflows): l
## What's Changed `GET /api/show` now advertises each model's thinking controls and default: ```sh curl http://localhost:11434/api/show -d '{"model": "glm-5.3-flash:cloud"}' ``` ```json { "thinking": { "values": ["low", "high", "max"], "default": "max" } } ```
cuda : fix CUB argsort corruption caused by in-place keys (#28389) argsort_f32_i32_cuda_cub called the one-shot DeviceRadixSort::SortPairs API with d_keys_in == d_keys_out (temp_keys, temp_keys). CUB's internal double-buffer ping-pong requires distinct key buf
IT之家 9 月 19 日消息,阿里千问今日发布同声传译大模型 Qwen3.8-LiveTranslate ,模型以 Interleave 架构重构实时同传,准确度、流畅度、简洁度全面提升,字均延迟(LAAL)从 2.8 秒降至 2.3 秒。 官方表示,在支持 60 种语言的基础上,Qwen3.8-LiveTranslate 新增三项能力让同传更广泛的应用于真实场景中: 实时说话人分离,每句话归属清晰,音色复刻更稳定; 原文译文同帧同出,双语同屏; 长上下文消歧,联系前文读懂当下,人名术语翻译更精准。 Qwen3.
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opencl: add support for bin kernel `flash_attn_f32_f16_bin` (#29046) * opencl: add `flash_attn_f32_f16_bin` * opencl: guarded prefill fa **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/rel
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# Highlights *713 PRs from 237 contributors.* **New models in this release** (see the [cookbook](https://docs.sglang.io/cookbook) for all supported models): | Model | Type | PRs | Cookbook | |---|---|---|---| | GLM-5.3-Flash | Autoregressive | [#36507](https:/
hexagon: add ROLL op support (#29105) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11045/llama-b11045-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI e
Agent 与开发工具通义千问 Qwen Code 发布官方来源 ## What's Changed * docs(serve): record merged ACP boundary acceptance by @wenshao in https://github.com/QwenLM/qwen-code/pull/12024 * fix(ci): wait for the published export renderer before packaging the VSIX by @yiliang114 in https://github.com/QwenLM/qwen-co
hexagon: im2col update (#29103) * ggml-hexagon: accept 1D and padded IM2COL ops * ggml-hexagon: make pure-DDR IM2COL kernel is_2D-aware * ggml-hexagon: extend IM2COL DMA patch-embed fast path to 1D * ggml-hexagon: add blocked-staging general IM2COL DMA kernel
hexagon: HMX flash-attention head_dim padding (support DK=DV=72) (#26539) Allow HMX flash-attention to run with head_dim not a multiple of 64 (e.g. SigLIP head_dim=72), by operating on DK/DV rounded up to 64 with zero-filled tail lanes. **Website:** - **Attest
opencl: add bin kernel `kernel_gemm_noshuffle_q6_k_f32_32b_trans_ila_a8_bin` (#28678) * opencl: add A8 Q6_K non-MoE binary kernel * opencl: fix layout compatibility **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://githu
Agent 与开发工具通义千问 Qwen Code 发布官方来源 ## What's Changed * docs(serve): record merged ACP boundary acceptance by @wenshao in https://github.com/QwenLM/qwen-code/pull/12024 * fix(ci): wait for the published export renderer before packaging the VSIX by @yiliang114 in https://github.com/QwenLM/qwen-co
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ggml : check for allocation failures to prevent crashes (#28149) * ggml : check for allocation failures to prevent crashes * wording **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/release
Model-Saver: Write the SWA pattern, 15 more architectures roundtrip (#29042) * llama: read the SWA pattern as a period or a per-layer array Add llama_model_base::load_swa_pattern(), which reads sliding_window_pattern either as one flag per layer or as a period
ggml-webgpu: fix supports_op condition for GET_ROWS (#28978) * fix get_rows vec4 handling * Add src strides checking to vec4_aligned of get_rows and the new test case. **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://gi
ggml : handle graph buffer reservation failure (#26070) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11036/llama-b11036-bin-macos-arm64.tar.gz) - macOS Apple Silicon
vulkan: add IQ3_S MMQ matmul kernels (#28822) * vulkan: add IQ3_S MMQ matmul kernels * Make block_a_to_shmem do 2-byte loads (110 bytes is divisible by 2) * Align the check, IQ3_S is also using K tile size **Website:** - **Attestations:** - **macOS/iOS:** - [m
算力与芯片Intel OpenVINO 发布官方来源 ### Summary of major features and improvements * #### More GenAI coverage and framework integrations to minimize code changes * New models supported: * On CPU: Gemma-3n * On CPU, GPU: Kokoro-82M, Qwen3-VL-4B with EAGLE-3, Qwen3-ASR, Muse Glimmer 30B, Qwen3.8 2
## What's Changed - Added first-run setup when running `ollama`, with options to sign in or continue locally. Setup completion is shared with the desktop app on macOS and Windows. - Added `ollama://apps` to open the desktop app’s Apps page directly on macOS an
Agent 与开发工具通义千问 Qwen Code 发布官方来源 ## What's Changed * docs(serve): record merged ACP boundary acceptance by @wenshao in https://github.com/QwenLM/qwen-code/pull/12024 * fix(ci): wait for the published export renderer before packaging the VSIX by @yiliang114 in https://github.com/QwenLM/qwen-co
Mixture of experts (MoE) has become one of the defining architectural trends in large-scale AI model training. DeepSeek, Qwen, and Mixtral are examples of MoE...