DataWorld-35B-A3B
Zhanli-Li · Kit
A Qwen3.6-35B-A3B model tuned with multi-turn agentic reinforcement learning on the DataWorld tasks, for tool-calling agents. For teams serving a large mixture…
Zhanli-Li · Kit
A Qwen3.6-35B-A3B model tuned with multi-turn agentic reinforcement learning on the DataWorld tasks, for tool-calling agents. For teams serving a large mixture…
sainez · Kit
Gives you a 9B coding and tool-calling model as one 3.64 GiB GGUF file, quantized at about 3.5 bits per weight for running on your own machine.
flechin · Kit
A 27B reasoning model tuned to answer plainly instead of hedging, quantized to MXFP4 so vLLM can serve it on a single 32 GB GPU, for developers who run local r…
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…
qvac · Kit
GGUF copies of the 0.8B BotPsy tool-calling model in BF16, Q8_0 and Q4_K_M, for running agent and function-calling work fully on your own device with llama.cpp.