Lanzamientos de LM-Kit.NET
Released: May 24, 2026
Actualizaciones en 2026.5.4
Características
- Stream-based model loading (
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.
- Markdown attachment support (
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.
- Multi-Token Prediction (MTP) self-speculative decoding: a new generation accelerator...
Released: May 18, 2026
Actualizaciones en 2026.5.3
Características
- Added Windows ARM64 platform support: LM-Kit.NET now ships native binaries for Windows ARM64 alongside the existing Windows x64, Linux x64, Linux ARM64, and macOS Universal targets. Covers Snapdragon X / Copilot+ PCs, Surface Pro X / Surface Pro 9 (5G), Windows Dev Kit 2023, and other Qualcomm-powered Windows 11 devices. The base
LM-Kit.NET package now contains a runtimes/win-arm64/native/ folder with the default CPU (ARM Neon) and Vulkan backends (Qualcomm Adreno acceleration...
Released: May 10, 2026
Actualizaciones en 2026.5.2
Características
- Added model cards for Qwen 3.6 family:
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.
- Added...
Released: May 6, 2026
Actualizaciones en 2026.5.1
Características
- Extended encrypted GGUF support to metadata-only scenarios (
LMKit.Cryptography, LMKit.Model, LMKit.Hardware): LM.LoadEncrypted now honors LoadingOptions.LoadTensors = false, mirroring the plaintext metadata-only path - only the metadata block is decrypted, no tensor bytes are read, and the resulting LM exposes architecture, vocabulary, context length, layer count, and other GGUF metadata. Use this for fast catalog inspection or pre-flight checks on protected .lmke containers...
Released: Apr 23, 2026
Actualizaciones en 2026.4.4
Características
- Introduced
IKVCache public interface (LMKit.Inference): exposes residency, warmup, and hibernation capabilities on objects that own an inference KV-cache. Implemented by MultiTurnConversation, PdfChat, RagChat, and AgentExecutor (cast the instance to IKVCache to access).
- Members:
KVCacheContent (textual projection of the cache).Residency (current ContextResidency).Warmup() (eagerly initializes the context or rehydrates it from disk so the first user-facing call is not...
Released: Apr 17, 2026
Actualizaciones en 2026.4.3
Características
- Added
ImageDetail property to IConversation and VlmOcr (LMKit.TextGeneration, LMKit.Extraction.Ocr): controls the pixel budget used when processing images for vision models. Accepts a member of the ImageDetail enumeration (Minimal, Low, Standard, High, Maximal). Default is High. Available on MultiTurnConversation, SingleTurnConversation, AgentExecutor, RagChat, PdfChat, and VlmOcr.
- Added
TranslationProgress event to TextTranslation (LMKit.Translation): reports...
Released: Apr 10, 2026
Actualizaciones en 2026.4.2
Características
- Added thinking mode support for Gemma 4 models (E2B, E4B, 26B).
- Added per-request language and orientation detection to PDF OCR:
OcrParameters, PdfSearchableMakerOptions, and PdfGenerationOptions now accept optional Languages and EnableOrientationDetection overrides. The PDF OCR server endpoint exposes languages and detect_orientation fields.
- Orchestration streaming now emits
Thinking tokens for internal reasoning segments.
Released: Apr 4, 2026
Actualizaciones en 2026.4.1
Características
- 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
Actualizaciones en 2026.3.5
Características
- 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...
Released: Mar 24, 2026
Actualizaciones en 2026.3.4
Características
- Inference speed improvements.
- Improved overall extraction accuracy.
