Qwen2.5-0.5B
Qwen · Kit
The smallest base model in Qwen2.5, about 494M parameters with a 32,768-token context, meant for further training on your own data. For developers who want a t…
Qwen · Kit
The smallest base model in Qwen2.5, about 494M parameters with a 32,768-token context, meant for further training on your own data. For developers who want a t…
paradigma-inc · Kit
Solves hard math problems with a 1B-parameter model trained from scratch for fast, high-volume reasoning. It suits developers who run math workloads on an NVID…
OsaurusAI · Kit
Decides when to call a tool, when to answer directly and when to ask first, tuned from a 4B model and quantized for Apple Silicon Macs running Osaurus. For peo…
OrdenWills · Kit
Turns plain home commands such as turn off the TV into structured tool calls, checking device states first. A 350M model for smart home builders and tinkerers.
OpenMOSS-Team · Kit
Comments on video while it plays, taking frames one by one and answering with low delay. For developers and researchers building live video assistants in Pytho…
OpenLLM-France · Kit
Quantized GGUF copy of Luciole-8B-Instruct-1.1, an 8B text generation model for French and English, for running on your own computer. From LINAGORA's work in t…
Octen · Kit
Turns a short search query into the web address it most likely means, using a table of 30.9 million URLs stored with the model. For developers and researchers…
NousResearch · Kit
A 36B hybrid reasoning model in GGUF form that can think before it answers, write valid JSON and follow your system prompt. For people who run a large model on…
nazeshinjite · Kit
GGUF draft model that speeds up Qwen3.8-Flash-Next in llama.cpp through speculative decoding, in 334 MiB and 622 MiB files. It is not a standalone model, and i…
Nanbeige · Kit
INT4 quantized version of Nanbeige4.3-33B, a 33B model for coding and professional agent tasks, made with quantization-aware training. For developers who want…
Nanbeige · Kit
Compact looped-transformer model of 4.2B parameters for agent work such as tool use, office tasks and coding, in English and Chinese. For developers who want a…
murai-labs · Kit
Chats in Tamil script, romanized Tamil and English, and translates between Tamil and English. A 2.5B model built from scratch by Murai Labs, for Tamil speakers…
mlx-community · Kit
Runs an 8-bit MLX copy of VulnLLM-R-7B for text generation through mlx-lm. Meant for developers who want to try the model locally. The card does not say what i…
mlx-community · Kit
A 4-bit MLX copy of the 4.2B JevK5 chat model for Apple Silicon, with a 262,144 token context and a small memory footprint. Made for Mac users who want a quick…
mlx-community · Kit
A community MLX build of Recursive's 40B Flint coding model that shrinks the experts to 3 bits, so it fits a 24 GB or 32 GB Apple Silicon Mac. Made for develop…
mistralai · Kit
Generates and continues text as a 7B pretrained base model, for researchers and developers who want a starting point to test, tune or build on.
mistralai · Kit
A 7B instruction-tuned chat model from Mistral, fine-tuned from Mistral-7B-v0.1 on public conversation datasets. Made for developers who want a small open mode…
miromind-ai · Kit
An open research agent model that reasons over long contexts and calls tools many times per task to look up information. The 8B size, built on Qwen3-8B, suits…
MinimaLabs · Kit
A 99M-parameter base language model trained from scratch on 100B tokens, with a hybrid attention design. Made for researchers and tinkerers who want a tiny ope…
microsoft · Kit
Compact 5.6B model that takes text, images and audio and replies in text, with a 128K token context. For developers who want speech, vision and text in one sma…