Search FoxAI

AI Models 84996

• YeungNLP_-_firefly-qwen1.5-en-7b-unsloth-gguf↗

  RichardErkhov

• Kimi-K2.7-Code-MLX-3.6bit↗

  spicyneuron

• SRA-RiskGate-4B↗

  sriram1983007

  **SRA-RiskGate-4B checks a stablecoin payment before an AI agent sends it, and answers `approve`, `hold` or `reject`** with reason codes. It is a 4B model, fine-tuned from `Qwen/Qwen3-4B-Instruct-2507`, that runs on a laptop. It reads three things: your policy, the payment request exactly as received (treated as untrusted), and the results of your own verification tools (signature checks, attestations, sanctions screening). It is a decision-support layer that sits **behind** deterministic checks, not a standalone security control. It also proposes settlement-aware remedies for payment disputes. All 4 unsafe approvals were prompt injections; the companion SDK's deterministic claims check holds all 4 (details and caveats below). The data is synthetic and no third party has reproduced these results yet.

• yolo↗

  Synaptics

  This is a copy of Yolo as distributed at https://ultralytics.com under the license described in LICENSE.

• sheep-duck-llama-2-13B-GGUF↗

  TheBloke

• yamnet↗

  thelou1s

• Swift-1.5-Qwen3.8-Flash-Next-DACAN↗

  tirex2001

• gemma-3-270m-it-qat↗

  unsloth

• gemma-4-31B-it-GGUF↗

  unsloth

  Jun 9 Update: Added MTP support. See our MTP Guide . Apr 11 Update: Re-download for Google's latest chat template and llama.cpp fixes. Gemma 4 can now be run and fine-tuned in Unsloth Studio . Read our guide . See all versions of Gemma 4 (GGUF, 16-bit etc.) in our collection . Example of Gemma 4 E4B (4-bit GGUF) running in Unsloth Studio with tool-calling: Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning. The models are available in four distinct sizes: **E2B**, **E4B**, **26B A4B**, and **31B**. Their diverse sizes make them deployable in environments ranging from high-end phones to laptops and servers, democratizing access to state-of-the-art AI.

• Llama-3.2-3B-Instruct-GGUF↗

  unsloth

  We have a free Google Colab Tesla T4 notebook for Llama 3.2 (3B) here: https://colab.research.google.com/drive/1T5-zKWM_5OD21QHwXHiV9ixTRR7k3iB9?usp=sharing For more details on the model, please go to Meta's original model card All notebooks are **beginner friendly**! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.