전체 검색

AI 모델 84757

• Qwen3.5-9B-Kimi-k3-Distilled-heretic-GGUF↗

  somenetworktrouble

• Step-Audio-R1.1↗

  阶跃星辰

• SSLAM_AS2M_Finetuned↗

  ta012

• Muse-Glimmer-30B-MLX-4bit↗

  TensorFold

• Qwen3_1.7B_LoopUS↗

  Thrillcrazyer

• qwen2.5↗

  tiny-random

  This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from Qwen/Qwen2.5-72B-Instruct.

• phi-1_5-GGUF↗

  TKDKid1000

• Cosmos-Reason1-7B-GGUF↗

  unsloth

  NVIDIA Cosmos Reason – an open, customizable, 7B-parameter reasoning vision language model (VLM) for physical AI and robotics - enables robots and vision AI agents to reason like humans, using prior knowledge, physics understanding and common sense to understand and act in the real world. This model understands space, time, and fundamental physics, and can serve as a planning model to reason what steps an embodied agent might take next. Cosmos Reason excels at navigating the long tail of diverse scenarios of the physical world with spatial-temporal understanding. Cosmos Reason is post-trained with physical common sense and embodied reasoning data with supervised fine-tuning and reinforcement learning. It uses chain-of-thought reasoning capabilities to understand world dynamics without human annotations. Given a video/image and a text prompt, the model first converts the video/image into tokens using a vision encoder and a special translator called a projector. These video tokens are combined with the text prompt and fed into the core model, which uses a mix of LLM modules and techniques. This enables the model to think step-by-step and provide detailed, logical responses.

• diffusiongemma-26B-A4B-it-GGUF↗

  unsloth

  Jun 12 Update: You can now run DiffusionGemma in Unsloth Studio. See our Guide . You can also fine-tune DiffusionGemma in Unsloth . Inference settings are auto set. Example of DiffusionGemma (4-bit GGUF) running in Unsloth Studio with executable code: These GGUFs run with the DiffusionGemma build of `llama.cpp` (the DiffusionGemma PR ggml-org/llama.cpp#24423). DiffusionGemma is a block-diffusion architecture, so it needs that branch plus the dedicated `llama-diffusion-cli` runner - the standard `llama-cli` / `llama-server` cannot generate from it yet. `-n` / `--n-predict` is the only length knob you need: it auto-derives the diffusion block count and grows the batch/context to fit. On a single GPU the prompt prefix KV cache turns on automatically.

• Qwen3.6-27B-GGUF↗

  unsloth

  Developer Role Support so Qwen3.6 can work in Codex, OpenCode and more! Qwen3.6 can now be run and fine-tuned in Unsloth Studio . Read our guide . Tool calling improvements: Makes parsing nested objects to make tool calling succeed more. Example of Qwen3.6 35B-A3B (4-bit GGUF) running in Unsloth Studio with tool-calling: > [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience.