LM-Kit.NET
LLM 애플리케이션을 빌드하기 위한 엔터프라이즈급 .NET SDK.
LM-Kit사에서 공개
2025년 부터 ComponentSource에서 판매중
Released: Jul 1, 2026
Released: Jun 22, 2026
Released: Jun 15, 2026
Released: Jun 9, 2026
Released: Jun 8, 2026
gemma4:12b: Google Gemma 4 11.9B dense model with 256K context, hybrid sliding/global attention, vision, tool calling, math, coding, and reasoning support. gemma4:12b is now the replacement model for the deprecated gemma3:12b.Released: May 31, 2026
paddleocr-vl-1.6:0.9b: PaddleOCR-VL 1.6, an ultra-compact 0.9B vision-language model for document parsing (OCR, tables, formulas, charts, text spotting, seals, layout analysis), reaching 96.33% on OmniDocBench v1.6 (state of the art). Architecturally compatible with 1.5 for drop-in migration. The paddleocr-vl:0.9b model card is now deprecated in favor of paddleocr-vl-1.6:0.9b.LM-Kit.NET.Data.Connectors.PgVector): a new...Released: May 28, 2026
HibernationMode, IKVCache, Configuration, MultiTurnConversation, PdfChat, RagChat, AgentExecutor): new HibernationMode enum (Auto, None, Forced), per-conversation IKVCache.HibernationMode get/set property on every multi-turn conversation type, and a process-wide Configuration.DefaultContextHibernationMode that seeds the value on every new conversation. In Forced mode the runtime hibernates the KV-cache to disk in the background at the end of every turn...Released: May 24, 2026
LMKit.Model): new LM(Stream) loads GGUF and LMK archives from a stream; LM.LoadEncryptedFromStream(...) does the same for encrypted GGUF (.lmke). No on-disk extraction.LMKit.Data.Attachment, LM-Kit.Server): .md / .markdown files are now recognized as plain-text attachments (text/markdown), handled identically to .txt end to end.Released: May 18, 2026
LM-Kit.NET package now contains a runtimes/win-arm64/native/ folder with the default CPU (ARM Neon) and Vulkan backends (Qualcomm Adreno acceleration via Vulkan...Released: May 10, 2026
qwen3.6:27b (27B dense hybrid Gated DeltaNet + Gated Attention model, 64 blocks) and qwen3.6:35b-a3b (35B MoE, 3B active, 256 experts with 8 routed plus 1 shared, 40 blocks). Both support chat, vision, tool calling, code completion, math, and OCR with a native 262K context window extensible to 1M tokens via YaRN. The qwen3.5:27b and qwen3.5:35b-a3b model cards are now deprecated in favor of qwen3.6:27b and qwen3.6:35b-a3b respectively.