Hugging Face Models on Foundry Managed Compute
β’ 20
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Papers
Sliding-window beats linear attention
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
Articles
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Running
Agents
25
PazaBench
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ASR Leaderboard for low resource languages
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Running
Agents
3
BizGenEval Leaderboard
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Official BizGenEval leaderboard on Hugging Face.
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Running
Agents
16
MageBench Leaderboard
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This is a leaderboard for magebench
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MCP
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126
Mage-Flow
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Efficient native-resolution image generation and editing
Running on CPU Upgrade
MCP
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38
VibeVoice ASR BitNet
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Multilingual CPU-only ASR with a 1.58-bit BitNet decoder
Running on Zero
Agents
Featured
103
Mage-VL
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Codec-native video & image understanding with Mage-VL 4B
Running
Agents
AVGen-Bench Leaderboard
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Explore and submit AVGen-Bench model scores on the leaderboard
Running on Zero
Agents
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458
OmniParser V2
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OmniParser, turn your LLM into GUI agent
Running on Zero
Agents
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2.05k
TRELLIS.2
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High-fidelity 3D Generation from images
Running
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74
VibeVoice ASR
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Official Playground of Microsoft VibeVoice-ASR
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Agents
9
VITRA
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Generate 3D hand motion predictions from images
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Agents
51
Phi 4 Mini
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Demos for Phi-4-mini-instruct model
Running
Agents
45
ThoughtsOrganizer
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Transform your spoken thoughts into organized insights
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Agents
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4.78k
TRELLIS
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Scalable and Versatile 3D Generation from images
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Agents
Featured
35
PhineSpeechTranslator
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Break the language barrier
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Agents
10
StoriesComeAlive
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Transform handwritten moments into spoken memories
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Agents
Featured
113
Phi 4 Multimodal
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Interact with an AI by sending text, images, or audio
Configuration error
Agents
14
Magma Gaming
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Magma playing video games
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Agents
47
Magma UI
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Magma-8B model for UI Agents
Running
Agents
139
Llmlingua 2
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Compress prompts while preserving key tokens
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Agents
247
OmniParser demo
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Convert images of screens to structured elements
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Agents
2.27k
HuggingGPT
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Engage in multimedia chat with LLMs and ML models
Running
6
VPTQ Demo
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Vector Post Training Quantization Inference Demo
Running on Zero
Agents
61
MInference
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Chat with a fast LLaMAβ3 AI using dynamic sparse attention