Search FoxAI

AI Models 84759

• Josiefied-Qwen2-7B-Instruct-abliterated-gguf↗

  Goekdeniz-Guelmez

• ddpm-ema-church-256↗

  Google

• paligemma-3b-ft-infovqa-448↗

  Google

• opus-mt-fr-ru↗

  Helsinki-NLP

• chatgpt_paraphraser_on_T5_base↗

  humarin

  This dataset is based on the Quora paraphrase question, texts from the SQUAD 2.0 and the CNN news dataset. This model is based on the T5-base model. We used "transfer learning" to get our model to generate paraphrases as well as ChatGPT. Now we can say that this is one of the best paraphrases of the Hugging Face.

• genderize↗

  imranali291

• Sage-A1.5-F16-GGUF↗

  InternScience

  > [!Note] > This repository contains **GGUF** model weights for Sage-A1.5 in the **F16** (unquantized) format, for deployment with llama.cpp, Ollama, LM Studio, and other GGUF-compatible runtimes. > > For the original Hugging Face Transformers weights (compatible with Transformers, vLLM, SGLang, etc.), see InternScience/Sage-A1.5. **Sage‑A1.5** is a 35B Mixture‑of‑Experts agentic model based on **Qwen3.6** and **Agents-A1** from Shanghai AI Laboratory, built to advance long-horizon problem solving through adaptive capability composition. Building upon **Agents‑A1**, **Sage‑A1.5** learns not only to solve individual tasks, but also to organize work and revise its approach during execution, highlighting three key capabilities: **Agentic Orchestration, Verification, and Open Scientific Discovery**. First, agentic orchestration extends single-agent execution through task delegation and parallel collaboration among subagents with isolated contexts, enabling complex tasks to be decomposed and addressed concurrently while reducing interference across concurrent subagents. Second, agentic verification strengthens long-horizon reliability through progress checking, evidence validation, and reflective strategy revision, allowing **Sage‑A1.5** to recognize unproductive search paths and pursue alternative approaches. Third, open scientific discovery extends agentic capabilities beyond answering predefined questions to conducting exploratory research, connecting scientific inquiry with interactive analysis and inspectable research artifacts. We hope **Sage‑A1.5** provides the community with an accessible foundation for open scientific discovery, offering a practical path from long-horizon task execution to collaborative, verifiable, and inspectable scientific exploration.

• Qwen2.5-Coder-14B-Instruct-Q4_K_M-GGUF↗

  itlwas

• SikuGPT2↗

  JeffreyLau

• featherless-ai_Qwerky-QwQ-32B-gguf↗

  LatentWanderer