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AI 模型 84759

• muse-wonder-1.0↗

  待核实厂商

  Muse Wonder 是 Meta 能力最强的模型（预览版），面向复杂软件工程和长时间运行的智能体任务，能跨多个文件修改并验证代码、调度子智能体、并行调用工具和操作电脑，支持图片、视频、音频与 PDF 输入和 100 万 token 上下文。

• LumiPic↗

  oumoumad

• babylm_2025_submission_strict↗

  PatrickHaller

• StableBeluga2↗

  petals-team

  This repository contains the model from the stabilityai/StableBeluga2 repository with the following changes: 1. **Storing weights in `bfloat16` instead of `float32`.** This leads to 2x smaller files and a small quality loss, which is not significant compared to the loss caused by NF4 quantization used in Petals by default. 1. **Storing weights in small shards.** Each transformer block is stored in its own shard (1.71 GB each). The input and output embeddings and adjacent layernorms are in a separate shard (1.05 GB) too. This way, Petals clients and servers don't have to download any excess data besides the layers they actually use. 1. **Using Safetensors instead of Pickle.** This allows faster loading with smaller RAM requirements. We provide the original README below. Please refer there for model details and licensing information.

• Hemmingway-1.5-SSMFIX-APOSTATE↗

  Phil2Sat

• Gliese-Query_Tool-0.6B-GGUF↗

  prithivMLmods

• Qwen3-VisionCaption-2B-GGUF↗

  prithivMLmods

• granite-3.0-1b-a400m-base-GGUF↗

  QuantFactory

• SmolLM-360M-GGUF↗

  QuantFactory

• agent-husky_-_husky-v1-math-deepseekmath-7b-instruct-gguf↗

  RichardErkhov