Mellum2.1-12B-A2.5B-Thinking
JetBrains · Kit
A 12B mixture-of-experts thinking model with 2.5B active parameters, trained with reinforcement learning on real repositories for coding agents, math and hard…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
JetBrains · Kit
A 12B mixture-of-experts thinking model with 2.5B active parameters, trained with reinforcement learning on real repositories for coding agents, math and hard…
inclusionAI · Kit
Handles complex agent, search, office and coding work with 560B total and 25B active parameters and a 1M-token context. Serving examples use SGLang on multi-GP…
ibm-granite · Kit
Reasons step by step, writes code, calls tools and chats in several languages with a context of up to 128K tokens, extendable to 512K. IBM's dense 8B model, fo…
bytkim · Kit
A 27B coding model tuned for the Pi agent framework, trained to read a repository, edit files, run tools and use their feedback, with adjustable reasoning effo…
XHToken · Kit
Generates text with a compact 1.7B model for on-device use, with three adjustable thinking levels. Suits developers who want coding, agent and long-context hel…
nvidia · Kit
Gives you NVIDIA's NVFP4 quantized copy of ZAI's GLM-5.3-Flash, a multimodal model for reasoning, coding and agent tasks. Meant for developers who deploy on Bl…
diffbot · Kit
Serves a 3-bit compressed copy of DeepSeek-V4.1-Flash-1017 on two 96 GB RTX PRO 6000 Blackwell cards with vLLM, for developers who host a large coding and agen…
XHToken · Kit
Runs a small 1.7B on-device language model from XHToken as 4-bit GGUF files, for chat, coding and agent tasks in English and Chinese, with adjustable thinking…
lapadatbogdan · Kit
Runs a pruned GLM-5.3-Flash coding and agent model on a home PC, as GGUF files in five quant sizes. It keeps 152 of 288 experts per layer, cutting a 321B model…
unsloth · Kit
A 4-bit NVFP4 copy of the Qwen3.8 27B vision-language model made by Unsloth, for serving with vLLM. For developers who want a dense model that reads images and…
sabicap · Kit
A 27B agentic text model built on Qwen3.8-27B with open-source RL environments, reporting higher terminal and coding-agent scores, for developers building codi…
openjev · Kit
Answers typed decisions about text, web pages and screenshots, picking a choice, a yes-or-no probability or a score from your own labels in one forward pass. F…
yuxinlu1 · Kit
A GGUF fine-tune of Google's Gemma 4 12B instruction model for coding and tool-using agent work, sized to run offline on a machine with about 4.5 GB of free me…
thinkingmachines · Kit
Reads text, images and audio and writes text, as a huge open multimodal model for coding assistants, agents and chatbots. For developers with multi-GPU servers…
KRAFTON · Kit
Chats and reasons, with a strength in Korean, and runs tool-calling agent tasks. A 28.8B mixture-of-experts model that activates 4.3B parameters per token with…
unsloth · Kit
Runs Unsloth's GGUF copy of the GLM-5.3-Flash text model on your own hardware, a large open model its authors aim at coding and agent work. For people with ple…
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…
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…
inclusionAI · Kit
Generates text with a 7.9B hybrid reasoning model that activates only 1.3B parameters per token, so it fits local and low-resource setups. Suits developers who…