Agents-A1
InternScience · Kit
Runs multi-step agent work: planning, search, tool calling and scientific reasoning, as a 35B open-weight language model. Built for developers who wire a model…
InternScience · Kit
Runs multi-step agent work: planning, search, tool calling and scientific reasoning, as a 35B open-weight language model. Built for developers who wire a model…
IFM · Kit
Answers maths, coding and science questions as a compact open reasoning model that reads up to 128K tokens at once. Built by IFM for people who want a small mo…
hesamation · Kit
Runs a reasoning-tuned Qwen3.6-35B-A3B on your own machine as GGUF files in four quant sizes, trained on Claude Opus 4.6 style reasoning data. For people who w…
deepgrove · Kit
A 20B ternary-weight reasoning model that activates about 1B parameters per token. Built for fast on-device use, with a 5.31 GB checkpoint and 131,072 token co…
chromadb · Kit
A 20B-parameter search model that finds supporting documents for complex, multi-step questions and trims its own working context as it goes. Meant to act as a…
baidu · Kit
Reasoning-focused ERNIE 4.5 mixture-of-experts text model with 21B total and 3B active parameters, 128K context and tool calling, in English and Chinese. For d…
apodex · Kit
Reasoning model for long research tasks that works with files, data, code and tools, packaged as GGUF files you can host yourself. Suits researchers and develo…
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,…
ai-sage · Kit
Generates text in Russian and English for chat, code, reasoning and tool use. A 432B Mixture-of-Experts model with 28B active parameters, aimed at teams that h…
reflection · Kit
Reads and writes text with a 1M-token context, built for coding, agent tool use and math reasoning, as a 501B-parameter mixture-of-experts model in NVFP4 form.…
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…
prism-ml · Kit
Runs a 27B-class reasoning model packed to 1 bit per weight, about 3.9 GB, on Apple MLX, with 262K-token context. For developers who want a large model on a ph…
openai · Kit
Classifies text against a safety policy you write and shows its reasoning. For trust and safety teams filtering model inputs and outputs, labeling content onli…
openai · Kit
Sorts text against a safety policy that you write, and shows its reasoning for each decision. It suits trust and safety teams that filter or label content.
nvidia · Kit
Reads chest and abdominal CT volumes to write structured radiology reports, answer questions and explain its reasoning. For researchers and developers working…
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…
Jackrong · Kit
Trims wasted reasoning in long agent tasks, as a GGUF build of the second Flash fine-tune of Qwen3.8-27B with better Python formatting. For people who run agen…
Jackrong · Kit
Writes code, calls tools and works through software tasks as a coding agent. A 27.8B fine-tune of Qwen3.8-27B by Jackrong, trained on about 200,000 code and re…
inclusionAI · Kit
GGUF copy of inclusionAI's Ling-3.0-tiny, a small mixture-of-experts reasoning model with 7.9B total and 1.3B active parameters, for running locally at low cos…
deepseek-ai · Kit
A 685B open reasoning model from DeepSeek with sparse attention for long context and a chat template that lets it think while it calls tools. For teams that ru…