公开记录良好
软件健康报告模式 0.26.0 · 指标 1.13.0 · 2026-07-22 10:01 UTC
ggml-org / ggml
Tensor library for machine learning
ggml-org/ggml 的健康指数为 100 分中的 73 分，处于「良好」区间。 其得分最高的类别是Vitality（100/100），最低的是Security（21/100）。 最近一次更新在 4 天前。 近期的大部分工作由 4 位贡献者完成。
73
总分 / 100软件健康指数
指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均；当公开证据触发高风险司法辖区政策时，评级会按政策调整，并设置 49（有风险）的上限。AI 就绪度不计入总体分。
73
优秀85-100堪称典范；基本满足所有检验标准
良好70-84健康；仅有轻微不足
中等50-69可接受，但存在明显不足；建议进行审查
存在风险30-49存在重大薄弱环节；采用时应保持审慎
危急1-29问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
评分画像
每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形，而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。
所有权
按类别列示的指标
活力
项目是否仍有生命——是否仍在编写代码，是否仍在发布版本？
100
开发活跃度
100优秀
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 4 天前 |
| 36/36 | 提交节奏 — 52 周中有 52 周有提交 |
| 18/18 | 提交量 — 最近一年 1,880 次提交 |
| 0/10 | OpenSSF Scorecard：Maintained — 无数据 |
所用输入
| commits_last_year | 1,880 |
| human_commit_share | 1 |
| days_since_last_push | 4 |
| active_weeks_last_year | 52 |
发布纪律
100优秀
评分方式
| 27/27 | 有发布版本 — 已发布 26 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 4 天前 |
| 27/27 | 发布节奏 — 约每 5.8 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 26 |
| latest_release_tag | v0.17.0 |
| releases_from_tags | 否 |
| days_since_latest_release | 4 |
| mean_days_between_releases | 5.8 |
社区与采用
项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？
88
流行度与采用
97优秀
评分方式
| 60/60 | 星标 — 15,041 个星标 |
| 25/25 | 复刻 — 1,730 个复刻 |
| 12/15 | 关注者 — 148 位关注者 |
所用输入
| forks | 1,730 |
| stars | 15,041 |
| watchers | 148 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
77良好
评分方式
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证（MIT） |
| 18/18 | CONTRIBUTING 指南 |
| 0/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 否 |
| has_pull_request_template | 是 |
可持续性与治理
项目能否在其成员之外延续——巴士系数、响应能力、由谁支持，以及软件包的维护状况？
72
维护者韧性（巴士系数）
80良好
评分方式
| 43.2/54 | 巴士系数 — 4 位贡献者贡献了半数提交 |
| 15.2/22.5 | 提交分布 — 头号贡献者编写了 32% 的提交 |
| 13.5/13.5 | 贡献者广度 — 100 位贡献者 |
| 0/10 | OpenSSF Scorecard：Contributors — 无数据 |
所用输入
| bus_factor | 4 |
| contributors_sampled | 100 |
| top_contributor_share | 0.323 |
议题与 PR 响应能力
62中等
评分方式
| 21.1/46.8 | 议题解决 — 45% 的议题已关闭 |
| 31.3/38.3 | PR 接受 — 已裁定的 PR 中 672/822 已合并 |
| 0/15 | OpenSSF Scorecard：Code-Review — 无数据 |
所用输入
| merged_prs | 672 |
| open_issues | 307 |
| closed_issues | 253 |
| issue_closed_ratio | 0.452 |
| closed_unmerged_prs | 150 |
所有权与托管责任
71良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 25/25 | 所有者影响力 — ggml-org 有 4,268 位关注者 |
| 16.4/25 | 既往记录 — 23 个公开仓库，账户约 3 年 |
所用输入
| followers | 4,268 |
| owner_type | Organization |
| is_verified | — |
| owner_login | ggml-org |
| public_repos | 23 |
| account_age_days | 1,157 |
工程质量
基础的工程与文档实践是否到位？
75
工程实践
68中等
评分方式
| 24/24 | CI 工作流 — 2 个工作流 |
| 24/24 | 存在测试 |
| 0/16 | Linter 配置 |
| 0/9.6 | Pre-commit 钩子 |
| 6.4/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard：CI-Tests — 无数据 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 是 |
| has_linter_config | 否 |
| has_precommit_config | 否 |
文档
85优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 0/15 | 文档 / 主页站点 |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 4 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | automatic-differentiation, large-language-models, machine-learning, tensor-algebra |
| has_wiki | 是 |
| homepage | — |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
安全
可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？
21
安全态势
1危急
评分方式
| 0/30 | 安全策略（SECURITY.md） |
| 0/25 | Dependabot 配置 |
| 0/25 | 依赖锁定文件 |
| 0/20 | CodeQL 工作流 |
所用输入
| source | file_signals |
| lockfiles | — |
| manifests | requirements.txt |
| has_codeql_workflow | 否 |
| has_security_policy | 否 |
| has_dependabot_config | 否 |
依赖安全公告
100优秀
评分方式
| 35/35 | 直接依赖不含已知公告 — 没有直接依赖携带已知公告 |
| 0/25 | 间接依赖不含已知公告 — 在此范围内，传递依赖集合无法与开发和测试依赖区分 |
| 0/40 | 没有长期未处理的公告 — 没有公告带有发布日期 |
所用输入
| source | osv |
| advisories | 15 |
| affected_packages | 1 |
| assessed_packages | 4 |
| unassessed_packages | 5 |
| affected_by_severity | critical 1 |
| direct_affected_packages | 0 |
已排除计分（无数据或不适用）：间接依赖不含已知公告, 没有长期未处理的公告。 其余权重已重新归一化。 已将 4 个已解析依赖与 OSV 比对。 有 5 项无法评估——没有已解析的版本、生态系统不受支持，或超出所报告的软件包清单。 该仓库未发布任何索引可解析的软件包，因此改为评估仓库依赖图。该图将开发与测试版本固定同交付的依赖混在一起，因此仅对声明的运行时依赖计分；传递性发现仅作为背景信息列出，不计入评分。 未对可达性进行分析。
AI 就绪度
该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？这是一枚独立的实验性徽章——权重为 0.0，因此单独呈现，不影响总体健康评分。
48
AI 代理上下文与指引
40存在风险
评分方式
| 0/45 | 代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则 |
| 0/15 | 机器可读文档（llms.txt） |
| 40/40 | 可读的提交历史 — 100 次人类提交中有 76 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.76 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
验证循环（构建 / 测试 / 类型检查）
39存在风险
评分方式
| 0/18 | 一条命令的引导启动 |
| 22/22 | 自动化测试 |
| 0/11 | Lint / 格式化配置 |
| 11/11 | 静态类型检查 — C++（静态类型） |
| 0/10 | 可复现环境 |
| 2/10 | 已体现的代理实践 — 最近 100 次提交中有 1 次由代理编写或署名代理 |
| 0/8 | 自动化维护 — 未观察到自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — 无数据 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 否 |
| typed_language | 是 |
| bootstrap_files | — |
| has_devcontainer | 否 |
| has_linter_config | 否 |
| typecheck_configs | — |
| agent_commit_share | 0.01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
面向模型的代码可读性
95优秀
评分方式
| 45/45 | 可类型检查的代码 — C++（静态类型） |
| 49.8/55 | 可控的文件大小 — 采样的 607 个源文件中有 57 个超过 60KB |
所用输入
| primary_language | C++ |
| largest_source_bytes | 1,176,966 |
| source_files_sampled | 607 |
| oversized_source_files | 57 |
机器可读接口
40存在风险
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples |
所用输入
| example_dirs | examples |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
15,041GitHub 星标
100贡献者
1,880最近 12 个月提交数
4距最近推送天数
26发布版本数
4巴士系数（bus factor）
307开放议题
PyPI软件包生态系统数
数据采集警告
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- OpenSSF Scorecard did not return a usable result (2026/07/22 10:00:55 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
更多细节
Star 与 Fork 历史 0 ★ / 1,730 ⇿
0Star
1,730Fork
26发布
每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。
仅显示最近的历史——该仓库超出采集窗口，因此未采集最早的历史记录。
主版本 0次版本 8修订 18
每个点涵盖 3 天。
全部依赖 9
来自 GitHub 依赖图的完整解析依赖集合：0 个直接依赖与 9 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。
| 注册表 | 软件包 | 版本 | 关系 |
|---|---|---|---|
| PyPI | accelerate | 0.19.0 | 间接 |
| PyPI | gguf | — | 间接 |
| PyPI | keras | 3.10.0 | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | sentencepiece | — | 间接 |
| PyPI | tensorflow | 2.20.0 | 间接 |
| PyPI | torch | — | 间接 |
| PyPI | torchvision | — | 间接 |
| PyPI | transformers | 5.5.1 | 间接 |
依赖安全公告 1
该仓库未发布可被索引解析的包，因此评估的是其自身的依赖图——共 4 个包，其中也包含从不交付的开发与测试版本固定：1 个存在已知公告，0 个为直接依赖。 有 5 个无法评估——没有已解析的版本、生态系统不受支持，或不在所列包清单之内。
| 软件包 | 版本 | 关系 | 严重程度 | 公告数 | 修复版本 |
|---|---|---|---|---|---|
| keras | 3.10.0 | 间接 | 严重 | 15 | 3.14.0 |
公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析，且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。
原始 JSON 报告 机器可读
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"kind": "minor",
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"tag": "v0.9.7",
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"published_at": "2026-02-15T20:21:51Z"
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"body": "* sycl: fix incorrect row calculation when K_QUANTS_PER_ITERATION=1\n\nSigned-off-by: Todd Malsbary <todd.malsbary@intel.com>\n\n* sycl: use K_QUANTS_PER_ITERATION for non-reordered Q5_K kernel\n\nThis is the only Q5_K kernel that was not using KQPI.\n\nSigned-off-by: Todd Malsbary <todd.malsbary@intel.com>\n[…]\nodd Malsbary <todd.malsbary@intel.com>\n\n* sycl: fix missing row > nrows check\n\nSigned-off-by: Todd Malsbary <todd.malsbary@intel.com>\n\n---------\n\nSigned-off-by: Todd Malsbary <todd.malsbary@intel.com>",
"is_bot": false,
"headline": "sycl: fix row calculation when K_QUANTS_PER_ITERATION is 1 (llama/25690)",
"author_name": "Todd Malsbary",
"author_login": "malsbat",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "5c2efc070fb71715f3db7f7c7b4f8c2bc6f4a713",
"body": null,
"is_bot": false,
"headline": "opencl: add ABS op (llama/25115)",
"author_name": "Gezahegne",
"author_login": "Gezahegne",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
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{
"oid": "7c7383fd57f75e66814f83e90fa0a4453c43bb78",
"body": "…for Adreno A7x GPUs) (llama/25780)\n\n* opencl: load quant as uint in mv_q4_k_f32_flat\n\nhelps older compilers (e.g., E031.41, boosts 2x),\nno impact on newer compilers (e.g., E031.45 or newer)\n\n* opencl: load quant as uint in mv_q5_K_f32_flat\n\nhelps older compilers (e.g., E031.41)\n\n* opencl: format\n\n---------\n\nCo-authored-by: Li He <lih@qti.qualcomm.com>",
"is_bot": false,
"headline": "opencl: loads quants as uint for q4_K and q5_K flat mv (optimization …",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
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},
{
"oid": "e76904220ff5c7bcb65e10af25f7b831c7dcb470",
"body": null,
"is_bot": false,
"headline": "docs: added a note about using OpenCl with Adreno 810 (llama/25786)",
"author_name": "akleine",
"author_login": "akleine",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
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{
"oid": "06aab01facfbf934ce970a2539cd5ff4212e0bcf",
"body": "* dsv4 hc-ops\n\n* add missing files;\n\n* add cparams\n\n* update rpc version\n\n* address review comments\n\n* address review comments",
"is_bot": false,
"headline": "DeepseekV4: Add fused hyper-connection ops (llama/25585)",
"author_name": "Aman Gupta",
"author_login": "am17an",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
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},
{
"oid": "1d42e55b7af591ae1fc310661b920d3212652cb3",
"body": "…ing) and more MUL_MAT updates (llama/25762)\n\n* hex-mm: fix artificial limit in the solver that restricted number of act-prep threads\n\n* hex-mm: fix warning\n\n* hex-prof: do not apply --top to the timeline report\n\n* hmx-mm: add suport for tiled act-processing to better distribute hvx work\n\n* hex-l2: \n[…]\ntx that must be zero anyway\n\n* hex-hmx: fix hmx_queue_depth to use idx_write - idx_read\n\n* hex-hmx: use atomic_load for idx_read/write\n\n* hex-main: add static assert to make sure n_threads are aligned",
"is_bot": false,
"headline": "hexagon: L2 cache handling rework (dirty bit tracking with lazy flush…",
"author_name": "Max Krasnyansky",
"author_login": "max-krasnyansky",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d5df2d0f0b83c8db6ebeb97da35e107a2aeaa78b",
"body": "The current integration treats SME as a single capability (CPU_FEATURE_SME)\nwith no distinction between SME(v1) and SME2. The kernels dispatched under\nCPU_FEATURE_SME use SME2-specific instructions, making dispatch incorrect\non SME(v1)-only hardware.\n\nWe introduce build-time and runtime distinction between SME and SME2, and\nwire SME(v1) and SME2 kernels based on actual hardware support.",
"is_bot": false,
"headline": "kleidiai: Add SME vs SME2 distinction in kernel dispatch (llama/25478)",
"author_name": "Rajendra Matcha",
"author_login": "matcraje",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f257513c5009731185163a9f9160df9b64dd3036",
"body": "…t to avoid race (llama/25229)",
"is_bot": false,
"headline": "vulkan: when using transfer queue for async copies, sync on event_wai…",
"author_name": "Ruben Ortlam",
"author_login": "0cc4m",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "83849ea9f57e9ecd0d5e418102a9bd3d55adfb64",
"body": "* support cuda virtual devices\n\n* disable NCCL path when virtual devices are used\n\n* label virtual devices in description; add GPUx2 server CI jobs\n\n* code refactor",
"is_bot": false,
"headline": "CUDA: Support CUDA Virtual Devices (llama/25228)",
"author_name": "Anav Prasad",
"author_login": "anavp-nvidia",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
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},
{
"oid": "c621d2c86a122e732e141d9c711a469a635e6985",
"body": null,
"is_bot": false,
"headline": "Enable CUDA graphs on volta+turing (llama/25749)",
"author_name": "Alexander Heisler",
"author_login": "heislera763",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4993434d5ef634b01904fba251331fb8eea5d5f7",
"body": "PR #16308 set info.devices[id].integrated = false unconditionally for all\nCUDA/HIP devices as a workaround for corrupted output on Jetson Orin\n(#15034). On HIP/ROCm the device's real hipDeviceProp_t.integrated flag is\nneeded: with the cached field forced to false, supports_buft() refuses\nCUDA host b\n[…]\nto non-HIP (CUDA) builds and\nrestore prop.integrated for HIP, keeping the Jetson workaround intact for\nCUDA.\n\nFixes #23977\n\nSigned-off-by: liminfei-amd <91481003+liminfei-amd@users.noreply.github.com>",
"is_bot": false,
"headline": "ggml-cuda : restore prop.integrated on HIP builds (llama/24233)",
"author_name": "liminfei-amd",
"author_login": "liminfei-amd",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "58a052adc567e772e0393be5334c632df3a331f8",
"body": "* CUDA: dedup MoE gate/up activation quantization (fp4)\n\nFor MoE gate/up projections the src1 activation is broadcast across the\nrouted experts (ne11 == 1), so ids_src1 maps every one of a token's\nn_expert_used slots to the same physical row. The MMQ path therefore\nre-quantized each token's activati\n[…]\ng review comments\n\n* Add pragma unrolls\n\n* Remove redundant cudaMemsetAsync call\n\n* Removing follow up redundancies\n\n---------\n\nCo-authored-by: praneshgo <227579474+praneshgo@users.noreply.github.com>",
"is_bot": false,
"headline": "CUDA: dedup MoE gate/up activation quantization (llama/25441)",
"author_name": "Pranesh Gonegandla",
"author_login": "praneshgo",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e040db8362241c8bee4ff67831b9318127cc3eb1",
"body": "…ues for Adreno 850 GPU (llama/25745)\n\n* opencl: workaround for A850 compiler compat\n\n* opencl: fix DX compiler version parsing and cleanup\n\n---------\n\nCo-authored-by: Li He <lih@qti.qualcomm.com>",
"is_bot": false,
"headline": "opencl: disable FA and MoE weights repack to work around compiler iss…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "90e7a59ad7aed03458fd4a82df99a9e0c2ef1af5",
"body": null,
"is_bot": false,
"headline": "cuda: extract Q1_0 elements via __byte_perm (llama/25628)",
"author_name": "David Friehs",
"author_login": "dfriehs",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cf9bfdd25db181659277516823464879e160344d",
"body": "* opencl: exclude Adreno A7x from using Adreno MoE kernels\n\nSome compilers for A7x devices miscompile the repack kernels, corrupting\nthe weights and causing MoE models to generate garbage output\n\n* opencl: exclude A6x and unknown Adreno from MoE weights repack",
"is_bot": false,
"headline": "opencl: exclude some moe kernels on Adreno a7x (llama/25698)",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "273e03f384182abee71376e2091562a6365668d6",
"body": "…kernel + wmma kernel) (llama/25545)\n\n* cuda : CUDA GGML_OP_LIGHTNING_INDEXER implementation (generic vector kernel + wmma kernel)\n\n* chore : remove indentation of #pragma unroll\n\n* cuda : remove unnecessary kernel template declarations\n\n* cuda : add WARPS_PER_BLOCK and K_VECS_PER_BLOCK template par\n[…]\n rename, this time uppercased all constants\n\n* cuda : added alignment checks for Q and K tensors in lightning indexer implementation\n\n---------\n\nCo-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>",
"is_bot": false,
"headline": "cuda : CUDA GGML_OP_LIGHTNING_INDEXER implementation (generic vector …",
"author_name": "fairydreaming",
"author_login": "fairydreaming",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d060acf8d47fe3a9a6efe6a3a991718ada9cd6ce",
"body": "* opencl: route `sub_group_shuffle_xor` to qcom ext when KHR ext is unavailable\n\nKHR `sub_group_shuffle_xor` is not defined by compiler when\n`cl_qcom_subgroup_shuffle` is present, causing certain FA\nkernels fail to build. Define the KHR shuffle_xor using\nthe qcom extension.\n\n* opencl: skip FA kernels with mixed and quant types for A7x to avoid compiler crash",
"is_bot": false,
"headline": "opencl: fix two issues on flash attention for Adreno a7x (llama/25697)",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "acd901f565252d59aaa7c8ba0c54a8c42e91e66d",
"body": null,
"is_bot": false,
"headline": "CUDA: tighter MMQ src1 buffer size for native fp4 (llama/25613)",
"author_name": "leonardHONG",
"author_login": "leonardHONG",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a2aa3c025804b0a81b5d571c9943d3381b9d142e",
"body": "…ma/25678)\n\n* cuda : relax tensor contiguity requirements for quantized concat\n\n* tests : add test cases for non-contiguous quantized concat\n\n* ggml : relax contiguity requirements for quantized concat\n\n---------\n\nCo-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>",
"is_bot": false,
"headline": "cuda : relax tensor contiguity requirements for quantized concat (lla…",
"author_name": "fairydreaming",
"author_login": "fairydreaming",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
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},
{
"oid": "b89be9afd9642146f144a56708c63c5d6c9532be",
"body": "* metal: fuse snake activation (mul, sin, sqr, mul, add)\n\nMirror the CUDA, Vulkan and CPU snake fusion: same matcher on the naive\n5-op chain, same F32 contract on a and inv_b, same F32/F16/BF16 kernel\nwith F32 compute. Follows the Metal backend idioms: bf16 instantiation\ngated behind GGML_METAL_HAS_\n[…]\n, and dispatch the fused path from ggml_metal_op_bin.\nThe encode loop switch is back to a single call per case.\n\nAddress review from ggerganov\n\n* metal: fix indentation in ggml_metal_op_can_fuse_snake",
"is_bot": false,
"headline": "metal: fuse snake activation (mul, sin, sqr, mul, add) (llama/25459)",
"author_name": "Pascal",
"author_login": "ServeurpersoCom",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "ed7cbe3380c7d15f943414c7738a35bf0fc49766",
"body": "…ama/23997)",
"is_bot": false,
"headline": "ggml: add f16 out_prod support for CPU and out_prod op for Vulkan (ll…",
"author_name": "Michael Lamothe",
"author_login": "Lamothe",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6a95a4c4008b3af4b257a97566f2192c96d76730",
"body": null,
"is_bot": false,
"headline": "sycl : fix get_rows Q2_K, Q4_K, Q5_K (llama/25656)",
"author_name": "Neo Zhang",
"author_login": "arthw",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2de6381c1aa6b37b7c55e7ba67cb38a8552d287a",
"body": null,
"is_bot": false,
"headline": "sycl : support kernel type fp16 for conv2d_dw (llama/25653)",
"author_name": "Neo Zhang",
"author_login": "arthw",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "65f6c2e8ffc23114068086e1cf022a93d2e09896",
"body": null,
"is_bot": false,
"headline": "sycl : implement xielu op (llama/25550)",
"author_name": "Andrew Smith",
"author_login": "atsmith3",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e1a5a070b544cf8c75f5be5316d4a6e24a3a7564",
"body": "…25525)\n\nRaise the threshold for minimum buffer size from 1 GiB to 4 GiB, based\non real-world experiments of overcommitting device memory with model\nweights larger than available VRAM, for example Qwen3.5-35B-A3B-Q8\nrunning on a B70.\n\nAlso add a debug message to better track USM system allocations.\n\nSigned-off-by: Francois Dugast <francois.dugast@intel.com>",
"is_bot": false,
"headline": "sycl: Increase minimum buffer size for USM system allocations (llama/…",
"author_name": "Francois Dugast",
"author_login": "ifdu",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
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},
{
"oid": "da7d05afd974a857df95fc4f34c9239bb095f63b",
"body": "* [SYCL] F16 (default) Flash Attention with XMX engine via oneDNN graph API; Qwen3.6-27b-Q8_0 prefill speed up x1.21 at p=512 and x4.26 at p=80k\n\n* [SYCL] Address review on FA oneDNN path. Result: llama-bench---pp512; 32% increase with fa1; llama-perplexity---0.11% difference; tested model: mraderma\n[…]\n-------\n\nCo-authored-by: scientist3 <scientist.3@users.noreply.github.com>\nCo-authored-by: hmscider <hmscider@users.noreply.github.com>\nCo-authored-by: maxious <81432+maxious@users.noreply.github.com>",
"is_bot": false,
"headline": "Flash Attention with XMX engine via oneDNN (llama/25222)",
"author_name": "hmscider",
"author_login": "hmscider",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "99eb5ae0d91a295eb9d3c73c0532097d9af4e8af",
"body": "….x (llama/25673)",
"is_bot": false,
"headline": "opencl: do not use `clCreateBufferWithProperties` when targeting CL 2…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f82e98a33c25e33093401fa2b8c52e3937bf9802",
"body": "…25640)",
"is_bot": false,
"headline": "opencl: handle OOB write in noshuffle GEMV kernels (odd ne01) (llama/…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d7749710636c286caacc6d8eb6ea28a350429a2e",
"body": "…671)\n\nThe f16 GEMV kernels take a vectorized path for ne00 >= 128 that casts the row\npointers to half4 or float4. When the row stride is not aligned, the wide load\nbecomes misaligned. On devices that require natural alignment for vector loads,\nthe kernel reads garbage. This is the case Intel GPUs and the kernels produce\nincorrect results there. Adreno happpens to be byte addressable and the kernels\nhappen to work.",
"is_bot": false,
"headline": "opencl: avoid the vec path in GEMV for unaligned row stride (llama/25…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "86f41a97152fcf277be40f2b2d14e96de3032cc0",
"body": null,
"is_bot": false,
"headline": "hexagon: fix hmx-queue signal enum-narrowing problem (llama/25677)",
"author_name": "Chyan",
"author_login": "chyan8",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "116d05bb9536665ef94497897cb26cf8f8ec7380",
"body": "…s unavailable (llama/25639)\n\n* opencl: do not fail backend init on devices without cl_khr_integer_dot_product\n\n* opencl: do not call dp4 kernels when dp is unavailable\n\n---------\n\nCo-authored-by: Li He <lih@qti.qualcomm.com>",
"is_bot": false,
"headline": "opencl: fix a dp4a bug for devices where cl_khr_integer_dot_product i…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "22b713aa92aa620401840e89c1312e97f8077368",
"body": "* vulkan/cpu: Support f16 as SET_ROWS src.\n\nThis adds full support for f16 SET_ROWS (equivalent to f32) to vulkan and CPU\nbackends, and adds more backend tests.\n\n* Set DenormPreserve 16 when supported, to try to fix failures on Intel\n\n* tune error threshold\n\n* update metal supports_op",
"is_bot": false,
"headline": "vulkan/cpu: Support f16 as SET_ROWS src. (llama/25432)",
"author_name": "Jeff Bolz",
"author_login": "jeffbolznv",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aa4379fd3d3677af0a6dac4221d8158349795a01",
"body": "… dimensions (llama/25650)\n\nCo-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>",
"is_bot": false,
"headline": "ggml : add a set of functions for checking contiguity of inner tensor…",
"author_name": "fairydreaming",
"author_login": "fairydreaming",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "efee796c5910a988b63eeb52ac6cf1b6d7abf719",
"body": "* ggml: uniformize im2col dst_type for all conv ops\n\n* Update ggml/src/ggml.c\n\nCo-authored-by: Georgi Gerganov <ggerganov@gmail.com>\n\n* ggml : uniformize im2col casting logic across all conv ops\n\n* fix : allow im2col_f16 to accept any kernel type\n\n---------\n\nCo-authored-by: Georgi Gerganov <ggerganov@gmail.com>",
"is_bot": false,
"headline": "ggml: uniformize im2col dst_type for all conv ops (llama/23660)",
"author_name": "JusteLeo",
"author_login": "Juste-Leo2",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ba1840e2d053126d499aa89ee2cd23e56bb7dd9e",
"body": "* kleidiai : add SME2 f32 kernel\n\n* enable dynamic scheduling for SME2 f32 kernel",
"is_bot": false,
"headline": "kleidiai : add SME2 f32 kernel (llama/24414)",
"author_name": "Charles Xu",
"author_login": "chaxu01",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f5aefb5d683f76f36695be587e1726aa08cc46d0",
"body": "Currently detects lunarlake + battlemage / xe2 and\nsets the value to 256.\n\nKeeps default at 128, Intel's ARC Alchemist's prefered value.",
"is_bot": false,
"headline": "sycl: set fattn_vec_nthreads to 256 for Battlemage (llama/25205)",
"author_name": "Titaniumtown",
"author_login": "Titaniumtown",
"committed_at": "2026-07-17T11:40:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8165e8d3ddaab40d444fd011149135136b5c6517",
"body": null,
"is_bot": false,
"headline": "metal : add Q2_0 support (llama/25419)",
"author_name": "Pasha Khosravi",
"author_login": "khosravipasha",
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"body": "* CUDA: refactor MMQ kernel configuration\n\n* fix Blackwell config\n\n* remove legacy code",
"is_bot": false,
"headline": "CUDA: refactor MMQ kernel configuration (llama/24127)",
"author_name": "Johannes Gäßler",
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"body": "…5338)\n\nThis uses the new VK_EXT_shader_ocp_microscaling_types extension to do fp4 type\npromotions, and also uses the float8 extension to do ue4m3 promotions for\nnvfp4. It's reasonable to assume that an implementation that supports fp4 will\nalso support fp8, so we don't need to handle all possible combinations of\nsupport.",
"is_bot": false,
"headline": "vulkan: Use native e2m1 and e4m3 conversions for mxfp4/nvfp4 (llama/2…",
"author_name": "Jeff Bolz",
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"oid": "3f12eb18b2b6cb6fccb6f3982a35641f6fae0e47",
"body": "* tests: Harmonize the use of private ggml includes\n\n* tests: In test-backend-ops, use quoted includes\n\nAs with all other tests. This is to ensure that the build uses shipped\nheaders over possibly system-installed ones.",
"is_bot": false,
"headline": "tests: Harmonize header use (llama/25616)",
"author_name": "Christian Kastner",
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"oid": "499d4c61498085f3c63dfde438161bd20a09dff0",
"body": "* gguf : add tensor shape accessors\n\n* gguf : return tensor shape as const int64_t *\n\n* gguf : remove n_dims accessor, keep only gguf_get_tensor_ne",
"is_bot": false,
"headline": "gguf : add tensor shape accessor (llama/24405)",
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"body": "* sycl: add fused top-k MoE\n\n* sycl: address review: GGML_SYCL_ENABLE_FUSION env, move fusion dispatch to topk-moe\n\n* sycl: print GGML_SYCL_ENABLE_FUSION at startup like other env vars\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "sycl: add fused top-k MoE (llama/25217)",
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"body": "Signed-off-by: Todd Malsbary <todd.malsbary@intel.com>",
"is_bot": false,
"headline": "sycl: add Q2_K to DMMV reorder path (llama/25064)",
"author_name": "Todd Malsbary",
"author_login": "malsbat",
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"body": null,
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"headline": "gguf : reject empty metadata keys (llama/24917)",
"author_name": "Rohit Mahesh",
"author_login": "rohitmahesh1",
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"body": "… (llama/25157)\n\nIf a Cuda device has no or limited available memory, the actual call\nto cudaMemGetInfo() itself can cause a fatal crash due to a cuda out\nof memory error (there is not enough memory to actually query memory)\n\nThis causes an issue because we query memory for all devices at\nstartup ev\n[…]\nam effect of the fit\nalgorithm not trying to put any layers on it, which is desired outcome\nvs hard crashing.\n\nthis also prevents crashes in cuda enabled builds when user explicitly\npasses '-dev none'",
"is_bot": false,
"headline": "cuda: Don't crash when querying memory on device with no free memory.…",
"author_name": "cphlipot",
"author_login": "cphlipot",
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"oid": "13f4e9ff9047ec236cdc8c4f3ab2aaf547ad9c09",
"body": "… lightning indexer (llama/24231)\n\n* ggml : add GGML_OP_LIGHTNING_INDEXER that implements DeepSeek V3.2/V4 lightning indexer\n\n* ggml : remove scale parameters from lightning indexer OP, add f16 mask parameter\n\n* tests : add GGML_OP_LIGHTNING_INDEXER tests\n\n* ggml : bump RPC version\n\n* chore : check \n[…]\ning indexer mask broadcasting\n\n* chore : whitespace\n\n* llama : use GGML_OP_LIGHTNING_INDEXER in DeepSeek V3.2 and DeepSeek V4 models\n\n---------\n\nCo-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>",
"is_bot": false,
"headline": "ggml : add GGML_OP_LIGHTNING_INDEXER that implements DeepSeek V3.2/V4…",
"author_name": "fairydreaming",
"author_login": "fairydreaming",
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"oid": "d14d9db8ca4b2f2d9ab83cf5be4f17e519f2283c",
"body": "* [Vulkan] Fixes llama-cli breaking over longer promts sizes\n\nThe llama-cli was breaking for longer promts sizes for q4_0 quantized networks. Causing due to insufficient shared memory.\n\n* Removed the un-used Adreno device\n\n* Updated matmul for small pipeline.",
"is_bot": false,
"headline": "Vulkan: route large matmuls to medium tile on Adreno (llama/24877)",
"author_name": "Raman Shinde",
"author_login": "Raman-Raje",
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"oid": "a4499c36bc30a5ef53c28764e6e5af6544c00120",
"body": "…Us (llama/25537)\n\n* opencl: add int8 dp4 dense and moe GEMM\n\n* opencl: refactor\n\n---------\n\nCo-authored-by: Li He <lih@qti.qualcomm.com>",
"is_bot": false,
"headline": "opencl: add int8 dp4 dense and MoE prefill optimization for Adreno GP…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
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"oid": "9d49fcb2aed564c69d6e1cd6b6b7423263c04b36",
"body": "* hex-sort: add efficient bitomic sort in hvx regs up to 1024 elements\n\n* hex-sort: fix inverted vrors\n\n* hex-sort: specialize sort functions for the common cases\n\n* hex-sort: add tracing and local context",
"is_bot": false,
"headline": "hexagon: improve ARGSORT performance for small tensors (llama/25512)",
"author_name": "Max Krasnyansky",
"author_login": "max-krasnyansky",
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"body": null,
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"headline": "sync : llama.cpp",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-10T11:05:01Z",
"body_truncated": false,
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"oid": "f731440cee59446db5befdc5288298459e808f2e",
"body": "* ggml-et: Add performance logging\n\n* ggml-et: Quants helpers\n\n* ggml-et: Add MUL_MAT kernel\n\n* ggml-et: Add ROPE kernel\n\n* ggml-et: Add RMS_NORM kernel\n\n* ggml-et: Add GLU kernel\n\n* ggml-et: Add SOFT_MAX kernel\n\n* ggml-et: Add GET_ROWS kernel\n\n* ggml-et: Add CONT kernel\n\n* ggml-et: Add SET_ROWS ker\n[…]\nGianluca Guida <gianluca@nekko.ai>\nCo-authored-by: ubergarm <leimgrub@gmail.com>\nCo-authored-by: SaqibAkram-10xE <saqib.akram@10xengineers.ai>\nCo-authored-by: Rehan Qasim <rehan.qasim@10xengineers.ai>",
"is_bot": false,
"headline": "ggml-et: Initial ET backend (llama/24179)",
"author_name": "Martin Chang",
"author_login": "marty1885",
"committed_at": "2026-07-10T11:05:01Z",
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"oid": "54f2c8e9396a3f57093d4047036ce8a5ed5ad3f8",
"body": null,
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"headline": "opencl: cluster-parallel decode FA for Adreno (llama/25473)",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-10T11:05:01Z",
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"oid": "f5b88f17d4d9c969861587944956738af279e48e",
"body": "…rgsort() to reduce temporary buffers memory usage (llama/24776)\n\n* ggml : process data in smaller chunks in CUDA ggml_top_k() implementation to reduce temporary buffers memory usage\n\n* ggml : allocate tmp_dst only only once before the loop\n\n* chore : whitespaces\n\nCo-authored-by: Georgi Gerganov <gg\n[…]\nnary operators with min/max\n\n---------\n\nCo-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>\nCo-authored-by: Georgi Gerganov <ggerganov@gmail.com>\nCo-authored-by: Johannes Gäßler <johannesg@5d6.de>",
"is_bot": false,
"headline": "ggml : process data in smaller chunks in CUDA ggml_top_k() and ggml_a…",
"author_name": "fairydreaming",
"author_login": "fairydreaming",
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"oid": "0558cb9156d408caa461185f72e961aa998169a0",
"body": "* hexagon: tile wide rows in pointwise unary ops to avoid VTCM overflow\n\n* unary: reject permuted tensors for now (not used by models)\n\n* hex-unary: replace divs with fastdiv\n\n* hex-unary: add vtcm layout and host computed kernel params\n\n* hex-unary: move fastdiv init into kernel params\n\n* hex-unary\n[…]\namline and remove more duplication\n\n* ggml-hexagon: fix std::min collision with Windows min macro\n\n* hex-cmake: make lto build happy\n\n---------\n\nCo-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>",
"is_bot": false,
"headline": "hexagon: tiling, tracing and optimizations for unary ops (llama/25474)",
"author_name": "Aparna M P",
"author_login": "aparmp-quic",
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"body": null,
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"headline": "sync : whisper.cpp",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-10T10:10:16Z",
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"body": null,
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"headline": "ggml : use ggml_vqtbl1q_u8 for 32-bit compat (whisper/0)",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-10T10:10:09Z",
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"oid": "524f974bb21a1013408f76d71c15732482c0c3fe",
"body": null,
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"headline": "ggml : bump version to 0.16.0 (#1559)",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-10T07:25:06Z",
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"headline": "sync : llama.cpp",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-09T20:39:29Z",
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"body": null,
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"headline": "ggml : fix conv 2d dw (llama/25490)",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-09T20:39:29Z",
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"oid": "d6081d6d59fd4f1bcad966fe962b9d47e996249d",
"body": "…a/25440)\n\n* Use smart pointers in test_case::eval\n\nThis makes it consistent with other methods of `test_case`.\n\n* Use smart pointer in show_test_coverage also\n\n* Also use smart pointers for backends",
"is_bot": false,
"headline": "Refactor: Consistently use smart pointers in `test-backend-ops` (llam…",
"author_name": "Oliver Simons",
"author_login": "ORippler",
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"headline": "pi : add system prompt (#0)",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
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"body": null,
"is_bot": false,
"headline": "common : adapt to q2_0 (#0)",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-09T20:39:29Z",
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"oid": "9f186280fea410f1602c74cf3b83c4d526dcd286",
"body": null,
"is_bot": false,
"headline": "sync : llama.cpp",
"author_name": "Georgi Gerganov",
"author_login": "ggerganov",
"committed_at": "2026-07-09T20:39:29Z",
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{
"oid": "f4439b19d4fad07b29082dbdd87f4d1c6f703eac",
"body": "The first one avoids relying on compile to optimize local memory away,\nand the second is cheaper than issuing control flow statements",
"is_bot": false,
"headline": "Only index by compile times + always multiply/add (llama/25445)",
"author_name": "Oliver Simons",
"author_login": "ORippler",
"committed_at": "2026-07-09T20:39:29Z",
"body_truncated": false,
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{
"oid": "a1329a7aea74265c822a1ada449137fba75052b1",
"body": "* metal : add CONV_2D_DW (depthwise 2D convolution) support\n\n* test : add perf cases for CONV_2D_DW\n\n* metal : use 3D dispatch for CONV_2D_DW kernel\n\n* metal : add channel-tiled CONV_2D_DW kernel for non-contiguous layouts\n\n* metal : simplify CONV_2D_DW dispatch and trim comments\n\n* metal : merge du\n[…]\n* tests : add F16 CONV2D_DW tests\n\n* cpu : fix F16 kernel support for CONV_2D_DW\n\n* tests : remove commented-out CONV_2D_DW test block\n\n---------\n\nCo-authored-by: Georgi Gerganov <ggerganov@gmail.com>",
"is_bot": false,
"headline": "metal : add CONV_2D_DW (depthwise convolution) support (llama/21565)",
"author_name": "Sou-ly",
"author_login": "Sou-ly",
"committed_at": "2026-07-09T20:39:29Z",
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{
"oid": "4b8fc1d9e4a822bceebc16d5e8a968d7f731dbdf",
"body": "CUDA is compiled with fast math and AMD/HIP is not — this flag lets AMD use fast math too.\n\nWe can't use -ffast-math: it implies -ffinite-math-only, which won't compile (ggml uses INFINITY for masking) and produces NaNs. -funsafe-math-optimizations gives the speedup without the NaN problems.\n\nCo-authored-by: Mark Caldwell <mark@cloudhands.ai>",
"is_bot": false,
"headline": "ggml-hip: enable -funsafe-math-optimizations (llama/24668)",
"author_name": "RapidMark",
"author_login": "RapidMark",
"committed_at": "2026-07-09T20:39:29Z",
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{
"oid": "0c580f65a116e02a5fcd86cf549556c234f63c67",
"body": "* cuda: fix snake fusion type predicate, a and inv_b are F32\n\nThe matcher required a->type == x->type while launch_snake reads both\nas const float *, matching the CPU and Metal contract where a and inv_b\nstay F32. F16/BF16 chains never fused and fell back to the naive path,\nand a hypothetical all F1\n[…]\nads x[idx] and a[c] / inv_b[c] linearly, so a\nnon-contiguous view passing the matcher would silently read wrong data.\nMirror the contiguity guard already present in the CPU, Vulkan and\nMetal matchers.",
"is_bot": false,
"headline": "cuda: align snake fusion matcher with the other backends (llama/25460)",
"author_name": "Pascal",
"author_login": "ServeurpersoCom",
"committed_at": "2026-07-09T20:39:29Z",
"body_truncated": true,
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"oid": "e8737e3600c0df1f69dbafbb19eac075ecbc042a",
"body": "* hexagon: add VISION RoPE support\n\n* hexagon: support RoPE on strided half-dim views for all modes\n\n* hex-rope: decouple src0 DMA copy size from row stride\n\n* hex-rope: support non-contiguous dst for RoPE\n\n* hex-rope: fix dst spad pitch for non-contiguous dst",
"is_bot": false,
"headline": "hexagon: add VISION RoPE support (llama/25216)",
"author_name": "Aparna M P",
"author_login": "aparmp-quic",
"committed_at": "2026-07-09T20:39:29Z",
"body_truncated": false,
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{
"oid": "7b14228008b25dd57d3ca88549f9808aa50038be",
"body": "…5418)",
"is_bot": false,
"headline": "ggml-webgpu: tune subgroup split (d_split) in flash_attn_vec (llama/2…",
"author_name": "Masashi Yoshimura",
"author_login": "yomaytk",
"committed_at": "2026-07-09T20:39:29Z",
"body_truncated": false,
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},
{
"oid": "0cb347e72d78e1bf6ead7ab1354123d0286a9e38",
"body": "… of 128. (llama/25464)\n\n* opencl: fix garbled output for Q6_K weights with ne01 % 128 != 0 on Adreno\n\nObserved with granite-3.1-3b-a800m-instruct, whose vocab is an odd number.\n\nRoute Q6_K dense mul_mat with ne01 % 128 != 0 off the noshuffle path:\ndecode (ne1==1) uses the correct flat GEMV and the \n[…]\nosts at most 512 bytes per quantized tensor at the\nobserved 128-byte alignment.\n\n* opencl: use lm based q6_k mm when ne1 is not multiple of 128\n\n---------\n\nCo-authored-by: Li He <lih@qti.qualcomm.com>",
"is_bot": false,
"headline": "opencl: Q6_K GEMM/GEMV fix for ne01 of weights that are not multiples…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-09T20:39:29Z",
"body_truncated": true,
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{
"oid": "b7be0ca56ef48786cc782f71cc23f3de777f5138",
"body": "* vulkan: disable FA mask_opt on GCN to improve performance\n\n* reenable mask opt over attention head size 256",
"is_bot": false,
"headline": "vulkan: disable FA mask_opt on GCN to improve performance (llama/24362)",
"author_name": "Ruben Ortlam",
"author_login": "0cc4m",
"committed_at": "2026-07-09T20:39:29Z",
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},
{
"oid": "c865b13d30b186b192a9db7a16e983b415693376",
"body": "…xpert tiles) (llama/25433)\n\n* opencl: ragged-tile MoE prefill GEMM (skip padded expert tiles)\n\nThe MoE prefill GEMM groups tokens into TILESIZE_N=32 per-expert tiles; at low\ntokens-per-expert most tiles are mostly padding. When a tile's upper 16 slots\nare all padding (router index 0xFFFFFFFF), skip\n[…]\nskipped path. New env GGML_OPENCL_MOE_RAGGED_GRAN={8,16,32} (quarter/half/\noff); default quarter.\n\n* opencl: move ragged moe env var in cl_init\n\n---------\n\nCo-authored-by: Li He <lih@qti.qualcomm.com>",
"is_bot": false,
"headline": "opencl: ragged-tile MoE prefill FP16 GEMM optimization (skip padded e…",
"author_name": "Hongqiang Wang",
"author_login": "wanghqc",
"committed_at": "2026-07-09T20:39:29Z",
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"oid": "c5796f2759086b17bd7fbf1744d22076d18a381e",
"body": "…ount (llama/25240)",
"is_bot": false,
"headline": "vulkan: for small AMD GPUs, reduce submission threshold based on CU c…",
"author_name": "Ruben Ortlam",
"author_login": "0cc4m",
"committed_at": "2026-07-09T20:39:29Z",
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