LM-Kit.NET のリリース
Released: Apr 4, 2026
2026.4.1 での更新項目
機能
- Added model cards for
gemma4:e2b, gemma4:e4b, and gemma4:26b-a4b: Google Gemma 4 multimodal Mixture-of-Experts models with vision and tool calling support.
- Inference speed improvements.
- Improved overall extraction accuracy.
Released: Mar 28, 2026
2026.3.5 での更新項目
機能
- Added model cards for
'translategemma3:4b' and 'translategemma3:12b'. Google TranslateGemma 3 open translation models built on Gemma 3, supporting 55 languages with text and image inputs.
- Added
Translation model capability (ModelCapabilities.Translation): New flag identifying models specifically trained for multilingual translation.
- Added model card for
'nemotron3-nano:4b'. NVIDIA Nemotron 3 Nano 4B, an edge-ready hybrid Mamba-2/Transformer model (3.97B parameters) with 262K context...
Released: Mar 24, 2026
2026.3.4 での更新項目
機能
- Inference speed improvements.
- Improved overall extraction accuracy.
Released: Mar 9, 2026
2026.3.3 での更新項目
機能
- Added
Embedder.GetQueryEmbeddings and Embedder.GetQueryEmbeddingsAsync (LMKit.Embeddings): compute embeddings with model-specific query instruction prefixes applied. Modern embedding models (Qwen3 Embedding, Nomic Embed, BGE v1.5) are trained with asymmetric prefixes for queries versus passages; these methods apply the correct prefix automatically based on the loaded model's architecture.
- Automatic Query Instruction Prefix in RAG Retrieval:
RagEngine.FindMatchingPartitions and...
Released: Mar 8, 2026
2026.3.2 での更新項目
機能
- Added model cards for
qwen3-coder:30b-a3b and lightonocr-2-bbox:1b.
- Added
SearchHighlightEngine (LMKit.Document.Search): searches text in paginated documents (PDF or image) and produces a highlighted copy. Supports exact, regex, and fuzzy (Damerau-Levenshtein) matching. Accepts optional pre-computed PageElement instances for raster PDFs or images.
- Added
SearchHighlightOptions, SearchHighlightResult, HighlightAppearance, and SearchMode enum (LMKit.Document.Search).
- Added
pdf_search...
Released: Mar 3, 2026
2026.3.1 での更新項目
機能
- Added model cards for
qwen3.5:0.8b, qwen3.5:2b, qwen3.5:4b and qwen3.5:9b.
Released: Feb 28, 2026
2026.2.11 での更新項目
機能
- Added model card for
glm-4.6v-flash.
- Added model card for
glm-ocr: Z.ai GLM-OCR 0.9B vision-language model specialized in document parsing, OCR, and structured information extraction.
- Improved GLM model support: Added ChatGLM3 and ChatGLM4 template formats with proper token handling and tool calling support.
Released: Feb 25, 2026
2026.2.10 での更新項目
機能
- Added model cards for Qwen 3.5 family:
qwen3.5:27b (27B dense hybrid GDN model) and qwen3.5:35b-a3b (35B MoE, 3B active). Both support chat, vision, tool calling, code completion, math, and OCR with a native 262K context window. The qwen3-vl:30b model card is now deprecated in favor of qwen3.5:35b-a3b.
- Introduced
RagChat (LMKit.Retrieval): A turnkey multi-turn conversational RAG class that wraps a user-managed RagEngine with an internal MultiTurnConversation. Implements...
Released: Feb 22, 2026
2026.2.9 での更新項目
機能
- Added
MarkdownToPdf converter (LMKit.Document.Conversion) with full formatting support (headings, bold/italic, code blocks, lists, blockquotes, tables, links, horizontal rules).
- Added
EmlToPdf converter (LMKit.Document.Conversion) with embedded attachment support.
- Added
markdown_to_pdf and eml_to_pdf built-in document tools.
- Added support for PaddleOCR VL models.
- Added model card for
paddleocr-vl:0.9b.
- Added
VlmOcrIntent enum and VlmOcr(LM, VlmOcrIntent) constructor for explicit OCR...
Released: Feb 19, 2026
2026.2.6 での更新項目
機能
- Added Filters / Middleware Pipeline (
LMKit.TextGeneration.Filters).
FilterPipeline with IPromptFilter, ICompletionFilter, and IToolInvocationFilter following the ASP.NET Core middleware (onion) pattern.- Lambda-friendly API and integration with both
MultiTurnConversation and Agent.
- Added Prompt Templates with Logic (
LMKit.TextGeneration.Prompts).
PromptTemplate class with Mustache syntax, conditionals, loops, filter chaining, custom helpers, and strict mode.
- Added memory capacity limits...
