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lodestones · Kit
Turns a text prompt into an image with an 8.9B open base model built on FLUX.1-schnell, made as a starting point for artists and developers who want to finetun…
lodestones · Kit
Turns a text prompt into an image with an 8.9B open base model built on FLUX.1-schnell, made as a starting point for artists and developers who want to finetun…
IFM · Kit
Handles coding, reasoning and agent-style tasks as a small open model with a 512K token context window. Built by IFM for people who want public training data,…
HuggingFaceTB · Kit
Continues English text from a prompt with a 362M-parameter base language model trained on 4 trillion tokens and light enough for on-device use. For developers…
ai-forever · Kit
Makes structured decisions over Russian text in one pass: pick an option, rate on a scale, answer yes or no, or rank candidates. Made for developers who classi…
AhmedReda25300 · Kit
Picks the best answer label from a short Arabic situation, a question and optional choices. Made for developers who route or decide Arabic tasks with a small 0…
agentionai · Kit
Packs Qwen3.8-27B as llama.cpp GGUF files in eight sizes from 8.95 to 16.35 GiB, plus a vision projector. The author reports less drift from the BF16 model tha…
adventists-ai · Kit
Takes speech and text in, answers in text, and judges when a speaker has finished talking. Built for voice-agent developers who want a small audio model that a…
Accio-Lab · Kit
An open 35B image and text model from Accio-Lab, based on Qwen3.6-35B-A3B, in BF16, GGUF, FP8, NVFP4 and MLX formats. For teams that serve a large model.
abacusai · Kit
Answers a typed question about audio, an image or text with a probability for each option, in one pass and with no generated text. A 4B decision model fine-tun…
JuneoAI · Kit
Helps organizations decide who does a task, who sees information, what runs and what gets accepted, by scoring candidate options in one pass. A 27.4B model bui…
ZhuYuhan · Kit
Finds when an event happens in a video and answers multiple-choice questions about it, by scoring candidates directly. Built on Qwen3.5-4B for video researcher…
ZelligeAI · Kit
Runs coding-agent loops with a 27B model that thinks in a compressed English and Chinese shorthand, so it spends fewer thinking tokens per turn. For developers…
ZBox008003 · Kit
Audits a multi-agent run while it unfolds and flags the earliest decisive error, naming the step, the agent and a short reason. For developers who build and de…
vishnuOI · Kit
Answers Unity game development questions and writes C# scripts, XR code and editor tools, as a fine-tune of Qwen2.5-Coder-7B-Instruct. For Unity developers who…
TokenRhythm · Kit
A 9B text model post-trained from Qwen3.5-9B for agent frameworks, tool use, coding and instruction following, released as text-only weights. For developers wh…
taobao-mnn · Kit
A pre-trained base language model of about 300M parameters for Chinese and English, designed with the MNN inference engine for on-device use, as a start for fu…
speakleash · Kit
Pairs with the Bielik-11B-v3.1-Instruct model as a draft model for speculative decoding in SGLang or vLLM. It is not a standalone language model.
speakleash · Kit
Serves as the DFlash draft model that pairs with Bielik-11B-v3.1-Instruct for speculative decoding in SGLang or vLLM. It is not a standalone language model. Fo…
RadixArk · Kit
Speeds up Kimi-K3.1-Pro serving by drafting blocks of tokens that the main model checks in one pass. A draft model for SGLang users, used alongside the target…
Qwen · Kit
Checks text for safety token by token while a language model is still writing, rating each part safe, controversial or unsafe in 119 languages and dialects. Su…
Qwen · Kit
A small safety moderation model that labels a prompt or a model reply as safe, controversial or unsafe and names the risk categories, in 119 languages. Suits d…
Qwen · Kit
Continues text and code as a 1.7B base language model pre-trained on 119 languages. For developers who want a small model to fine-tune or test.
Qwen · Kit
A compact 1.7B chat model that switches between a thinking mode for reasoning and a quick mode for dialogue. Suits developers who want a small open model for c…
Qwen · Kit
A vision-language model that reads images, documents and video together with a text question and answers in text. Suits developers who build apps around charts…
Qwen · Kit
A 14.8B code model tuned to follow instructions. It writes, explains and fixes code from plain requests, and runs through the transformers library. Suits devel…
Qwen · Kit
Chats, writes code, solves maths and returns structured JSON as a 7.6B-parameter instruction-tuned model with a context window up to 131,072 tokens. Suits deve…
Qwen · Kit
A small 494M-parameter chat model from Qwen that follows instructions, with weights of about 988 MB in BF16 that run through Transformers. It suits developers…
ProCreations · Kit
Decides whether a coding agent's proposed tool call should run, answering approve or deny from the call, the request and the history. The smallest Auto model,…
poolside · Kit
Writes code and works through long coding tasks with tool calls, using a 33B mixture-of-experts model that activates 3B parameters per token. For developers wh…
Poindexter-Labs · Kit
Returns structured decisions from plain-language context: pick one option, judge a yes or no claim, or score an item against a rubric. For developers building…
PedroMarinhoDev · Kit
Generates images from text prompts inside ComfyUI, using Linum's 2B-parameter P-JiT 21K model in bf16 and int8 files that run from 4 GB of free VRAM. It suits…
OmniJev · Kit
Reads a screenshot, photo, video or text with a few typed questions and returns a probability for each answer option in one pass. Built for developers of scree…
OmniJev · Kit
Reads a screenshot, photo, video or text plus your typed questions and returns a probability for each answer option, such as what an agent should do next or wh…
OmniJev · Kit
Answers typed questions about a screenshot, photo, video or text with a probability for each option. It suits developers who need fast decisions in an agent lo…
omlab · Kit
Finds and points at objects in images by choosing among candidate regions, and answers None when the target is absent. For drone, robot and surveillance camera…
officialmobai · Kit
Reasons step by step through math, physics, scientific code and Persian or English questions, with tool calling. A 4.1B model built on Spark-X2.6-4B, for peopl…
nvidia · Kit
Reads chest and abdominal CT volumes to write structured radiology reports, answer questions and explain its reasoning. For researchers and developers working…
NousResearch · Kit
Writes code for competitive programming problems, a Qwen3-14B model trained further with reinforcement learning on 24k problems with checkable answers. For dev…
NousResearch · Kit
A 3.2B chat and assistant model that follows instructions, calls functions, writes structured output and code. For developers and hobbyists who run a model on…
MultiverseComputingCAI · Kit
A 61.1B multimodal model from Multiverse Computing, a compressed version of NVIDIA's Nemotron 3.5 Super that takes text, image and video and keeps about 12B pa…
microsoft · Kit
An 8.7B speech-to-text model from Microsoft Research that transcribes up to 60 minutes in one pass, saying who spoke, when and what, with optional hotwords and…
microsoft · Kit
A compact coding agent model that works through a repository, finds bugs, edits files and runs tests with a five-tool framework called Leaf. Made for developer…
microsoft · Kit
A computer use agent model from Microsoft Research that reads browser screenshots and picks the next click, typing or scroll to finish web tasks. It suits deve…
mesmertech · Kit
Tells whether English text is human-written, AI-written or AI-edited and labels each sentence. For editors, teachers and researchers who want a signal, not pro…
meituan-longcat · Kit
Mixture-of-experts text model with 69B parameters, about 3B active per token, sparse attention and a 1M-token context. For teams hosting long-context models fo…
meituan-longcat · Kit
Multimodal mixture-of-experts model for long agentic tasks such as codebase work, full project builds and creative design, in a compressed W4A4 build. For team…
maylore-ai · Kit
Rust coding model of 4.2B parameters, built on Qwen3.5-4B, that answers requests in Russian and English. For Rust developers who want a small model for functio…
llm-jp · Kit
A 33.2B-parameter English and Japanese text generation model from the LLM-jp project. Post-trained with SFT and DPO, it has a 65,536-token context, Apache 2.0…
Kwaipilot · Kit
An open-weight coding model from Kwaipilot, a mixture-of-experts with 35B total and 3B active parameters, tuned for agentic coding and fewer tool-call glitches…
khazarai · Kit
Debugs and reviews code by checking real files before it proposes a fix, a Qwen3.8-27B fine-tune trained on 195M tokens of reasoning traces. For developers who…