llama.cpp 建置 b11818 讓 server 的 RERANK 端點支援帶型別的 content 輸入，可直接傳入多模態內容。當模型沒有 rerank chat template 時，服務端會明確拒絕多模態輸入，而不是像此前那樣靜默丟棄圖片；媒體下載或 base64 解碼失敗、top_n 為負數也改為返回 400 而不是 500。README 同時補充說明：TEI 的輸入格式與 Jina 保持一致。
server : support typed content input for RERANK endpoint ( #29625 )
server : support typed content input for rerank endpoint
Assisted-by: Opencode/Qwen3.8 27B
server : address rerank multimodal review findings
reject multimodal rerank input when the model has no rerank chat template (images were silently dropped)
translate handle_media download/base64 failures to 400 instead of 500
reject negative top_n with 400 instead of letting resize throw
fix comment typos, redundant comments, indentation and trailing whitespace
README: document that TEI input accepts the same shape as Jina; drop stray blank line
Assisted-by: opencode
Trimmed README
Co-authored-by: timothywang21
[email protected]
Website:
https://llama.app
Attestations:
https://github.com/ggml-org/llama.cpp/attestations/58632846
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llama.cpp releasesAI 評分45
llama.cpp 發布 b11415，其 server 端現在會拒絕部分媒體截斷（partial media truncation）的請求。此次提交只保留 keep_first 修復，去掉了 mtmd 測試輔助改動——clip_image_f32_batch 改為按值儲存條目後該改動已無法編譯；同時刪除視覺測試，因為沒有測試夾具能在複用快取的情況下切到兩個相鄰媒體塊之間，該測試與修復本身無關。