KVARK Sparkle 1.1 (27B)
Egzakta · Kit
A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…
Egzakta · Kit
A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…
dslim · Kit
Finds and labels people, organizations, locations and miscellaneous names in English text. A fine-tuned BERT model for named entity recognition, used through t…
Divij · Kit
Rewrites decompiler output into readable C source with meaningful names and proper types. A Qwen3.5-4B fine-tune trained on unoptimized binaries, for security…
divagr1925 · Kit
A Qwen3.5-4B model with a small RISC-V computer built into its weights, used for exact arithmetic and for running a tiny story model. An experiment for researc…
divagr1925 · Kit
An experimental Qwen3.5-4B with a RISC-V CPU and a small filesystem compiled into its weights, so it remembers facts across sessions without outside tools. The…
distilbert · Kit
A small, fast English language model distilled from BERT base, with 67M parameters. Fills in masked words and is mainly meant to be fine-tuned for classificati…
deepseek-ai · Kit
Generates text with a 1.6T-parameter Mixture-of-Experts model that activates 49B per token and reads up to one million tokens. A DeepSeek preview for teams tha…
deepseek-ai · Kit
A 685B open reasoning model from DeepSeek with sparse attention for long context and a chat template that lets it think while it calls tools. For teams that ru…
deep-principle · Kit
A 4-bit NVFP4 build of Hydrogen-1.0, a 381B science and research assistant model from Deep Principle, based on GLM-5.3. It needs a multi-GPU NVIDIA Blackwell s…
deep-principle · Kit
An MXFP4 quantized copy of Deep Principle's 384B Hydrogen-1.0 science assistant, for AMD Instinct hardware. For labs that want a text model for scientific ques…
cyankiwi · Kit
A 4-bit AWQ quantization of Qwen3.8-27B by cyankiwi, a 27B vision-language model with thinking control. Weights are 21.02 GB and load in Transformers, vLLM or…
cua-ai · Kit
Scores the possible actions for each element of a GUI form, such as fill, check, click or skip, and returns a probability for each. A tiny model for developers…
CobuildX-AI · Kit
Finds personal information such as names, phone numbers, Aadhaar and PAN in Indian-language and Indian English text and returns each value's position. A 16.7M-…
bespokelabs · Kit
Gives a probability for every answer option when you pass a context and typed questions such as choices, yes or no, or ordered scores. A fine-tune of Qwen3.8-2…
bespokelabs · Kit
Scores yes or no questions, multiple-choice picks and rubric levels against a piece of text, using a LoRA adapter on Qwen3.5-9B. For developers who need a clas…
beipo-ai · Kit
Operates desktop and browser apps from screenshots with a 9B dense computer-use model built on Qwen3.5. Suits developers who build computer-use agents with the…
BAAI · Kit
Turns Chinese text into dense vectors for search, classification, clustering and semantic matching. A 24M-parameter BGE embedding model from BAAI under the MIT…
AshtakaOOf · Kit
Image upscaling models, and a few other image-to-image ones, gathered in one repository as safetensors files converted from older pickle files. For people who…
AQ-MedAI · Kit
A small draft model that speeds up Ling-3.1-Flash with speculative decoding in SGLang, drafting 5 or 7 tokens at a time. For teams serving Ling-3.1-Flash on NV…
allenai · Kit
Answers questions about images, videos and groups of images, and can point to what it finds. An open vision-language model from Ai2 for developers and research…