Minimax H3 Latent Upscaler
LBH-123-AI · Kit
Upscales Minimax H3 video latents directly, so you can generate at low resolution and refine at the target size without a decode and re-encode. For people runn…
LBH-123-AI · Kit
Upscales Minimax H3 video latents directly, so you can generate at low resolution and refine at the target size without a decode and re-encode. For people runn…
KRAFTON · Kit
Packs Raon-1 nano as a 4-bit LiteRT-LM bundle with a 4,096-token context, for running a Korean and English chat model on devices. Replies come without a thinki…
jialinyyzz · Kit
Rewrites AI-written drafts such as emails, essays, reports and forum posts so they read like a person wrote them, in English and Chinese. A 12B model that keep…
google · Kit
Handles text, image and audio input and writes text, with a 128K-token context and support for over 140 languages. A small instruction-tuned Gemma 4 model from…
DeepHat · Kit
A 7B coding model tuned for cybersecurity and DevOps work, fine-tuned from Qwen2.5-Coder-7B. For security and operations engineers who want a small local model…
Comfy-Org · Kit
Packages the Wan 2.2 video models and related files so ComfyUI can load them, covering image to video, text to video, camera control and more. For people who g…
Apexintelligence-AI · Kit
A text model for coding, tool use, question answering, search and research tasks, built on Qwen3.6-35B-A3B with about 3B parameters used per token. For develop…
unsloth · Kit
Runs Qwen3.6-35B-A3B locally from Unsloth's GGUF files with multi-token prediction for faster decoding in llama.cpp. Suits developers who want a local agentic…
unsloth · Kit
Runs Flint, a 39.8B mixture-of-experts model for coding agents that uses about 2.5B parameters per token, from Unsloth GGUF files. For developers who run codin…
reflection · Kit
An open instruction-tuned text model from Reflection with 501B parameters, 23B active at a time and a 1M-token context, aimed at coding, tool use and reasoning…
Qwen · Kit
Gives researchers and developers a pre-trained 9B base model with a vision encoder, meant for fine-tuning and experiments rather than direct chat. Handles text…
Qwen · Kit
Generates text with a 4B Qwen3 model that switches between a thinking mode for hard reasoning and a plain mode for quick chat. Suits developers who want a smal…
perplexity-ai · Kit
A small Perplexity decision model built on Qwen3.5-4B that reads text and images and answers choice, yes-or-no and score questions with probabilities, for fast…
PaddlePaddle · Kit
Reads an image and returns its text, built for parsing documents in English and Chinese. A 959M-parameter model from PaddlePaddle that runs through the PaddleO…
ML-Intern-lab · Kit
Solves math problems step by step with a small Qwen3.5-0.8B model whose weights an LLM edited directly, with no training, to stop repetition loops. For researc…
maya-research · Kit
Speaks text aloud in 11 Indian languages and English at 24 kHz, streaming audio as it is made, with 20 built-in voices and cross-lingual voice cloning. An open…
kusuriya-labs · Kit
An experiment that prunes Qwen3.8-27B to half its layers and retrains it, giving a 14.7B model for Japanese and English that the author says is not practical y…
Jackrong · Kit
Helps with coding and tool-using agent work as a GGUF fine-tune of Qwen3.8-27B, trained on about 200,000 code, agent and reasoning examples. For developers who…
google · Kit
Handles text, image and audio input and writes text, with a 128K-token context and support for over 140 languages. The smallest instruction-tuned Gemma 4 model…
Cactus-Compute · Kit
A small on-device model from Cactus Compute for tool calling, structured extraction and text embeddings, used through the cactus Python package. For developers…