Hugging Models

We're sharing/showcasing best of @huggingface models. Follow to stay in loop. Promoting Open-Source models.

[Hugging Models @HuggingModels]

Hermes had the head start. Now a longtime Hermes user is testing Mercury, submitting 7 PRs, and asking for more.

Imagine what happens when Mercury is no longer the new kid on the block.

Hermes set the bar. Mercury is here to raise it.

[Frank Arena @haterofgnomes]

Going through the testing with the new @mercury__agent and I am impressed. I have been straight up Hermes for a LONG time, wanted something new to test. Submitted 7 PR's on some bugs I found so far but honestly, this is impressive. Would love a desktop app but its barely born.

[Hugging Models @HuggingModels]

🔗 Explore the full model details here:

https://t.co/J4HtYp9kUG

[Hugging Models @HuggingModels]

Ever wanted to add a voice to your project without the cloud? Meet Pocket TTS Loom, a text-to-speech model that runs locally with GGUF and Loom runtime. Lightweight, efficient, and ready to speak!

[Hugging Models @HuggingModels]

With 543 downloads and growing, Pocket TTS Loom is a reliable choice for local TTS. Its compact size and fast inference make it ideal for real-time applications. Give it a try and let your projects speak!

[Hugging Models @HuggingModels]

🔗 Explore the full model details here:

https://t.co/ZIM1rritTu

[Hugging Models @HuggingModels]

Meet twinkapp/mobileai: a GGUF model built for mobile AI. With 7,398 downloads and Apache 2.0 license, it's ready for your next conversational app. Lightweight and endpoints compatible, it brings AI to your pocket.

[Hugging Models @HuggingModels]

With 7,398 downloads, mobileai is gaining traction. Zero likes but growing. Its value: on-device conversational AI with no cloud dependency. Ideal for developers wanting a ready-to-deploy, license-friendly model for mobile apps.

[Hugging Models @HuggingModels]

🔗 Explore the full model details here:

https://t.co/3LxW88JIFP

[Hugging Models @HuggingModels]

With 263 downloads and 56 likes, this model is gaining traction. It combines TTS, ASR, and audio reasoning in one package, making it a versatile pick for audio AI projects.

[Hugging Models @HuggingModels]

Powered by the bailing_moe_v3_audio architecture, a Mixture of Experts design for efficient audio processing. Supports feature extraction and speech recognition, all in a compact flash variant.

[Hugging Models @HuggingModels]

Turn text into natural speech, transcribe audio, extract features, or build audio reasoning apps. Perfect for voice assistants, accessibility tools, and audio analytics. One model, many audio tasks.

[Hugging Models @HuggingModels]

Meet Ming-3.0-audio-flash: a text-to-speech model that also does ASR, audio understanding, and reasoning. Built on transformers with ONNX and safetensors. Small but mighty for audio AI.

[Hugging Models @HuggingModels]

🔗 Explore the full model details here:

https://t.co/W5oFhSRO11

[Hugging Models @HuggingModels]

Meet Ornith-1.5-122B-GGUF: a 122B parameter text-generation beast in GGUF format. Quantized for efficiency, it brings large-scale AI to your local setup. Ready to generate?

[Hugging Models @HuggingModels]

With 7.7k downloads and growing, this model is a community favorite. It delivers strong text generation without massive hardware. Perfect for developers who want power and portability.