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cetusianย 
posted an update 9 days ago
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Surogate Speech is out ๐Ÿ‡ small open speech models for agents, the speech side of Surogate.

First language shipped is Romanian, and the numbers came out better than I expected: 5.69% WER on FLEURS with a 116M model. Canary 1B gets 5.95% on the same clips, Whisper large-v3 8.42%. Leaderboard runner, one RTX 5090.

What's in it:

๐ŸŽง jackrabbit-110m-ro: speech recognition, 2,500ร— real time on one GPU
โšก jackrabbit-110m-ro-streaming: live, final text about 0.7 s after you stop talking
๐Ÿ—ฃ๏ธ amami-357m-ro: TTS with three voices, runs on a CPU

Serving is one line with our engine: surogate serve --stt surogate/jackrabbit-110m-ro

Transcripts for every clip are public if you want to rescore it.

surogate/surogate-speech-6ab680eb84c7ff75fb73ad5a
https://github.com/invergent-ai/surogate-speech
Nymboย 
posted an update about 2 months ago
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Anthropic gave me six months of Claude Max 20x through the Claude for Open Source program, granted based on my Hugging Face work. Thank you
Anthropic
for supporting open source.

So far I've been pointing it at Markdown Minimap, an Obsidian plugin that adds a scrollable IDE-style minimap to your notes. This week I've been clearing a backlog of user-reported issues on it, with Claude often handling them end to end.

https://github.com/Nymbo/Markdown-Minimap โ€” issues and PRs welcome.
Nymboย 
posted an update 2 months ago
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Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.

CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2

Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)
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cetusianย 
posted an update 3 months ago
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most labs won't bother teaching a small model to write and think in real romanian. no invented words, no english leaking in mid-sentence, diacritics intact.

we did.

surogate 3.5 is out. 2B and 4B, apache 2.0. invented word-forms cut from 4 per 1k down to ~1.5, and it reasons in the language you prompt it in, every time.

intelligence should speak your language too.

the models:

surogate/Surogate-3.5-4B

surogate/Surogate-3.5-2B
Tonicย 
posted an update 5 months ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks ,

Turns out : if we predict ๐ŸŒ earth we can save a lot of time looking for interesting things and less time looking at things that we expect to see.

Sentinel-2 imagery ๐Ÿ›ฐ๏ธbasically takes a long time to download towards earth. so our "near real time" systems are quite far from that in practical terms.

meanwhile , if we "predict" what we will see , based on what we do see , we can send down much less data in a timely way , and prioritize ๐Ÿ“กearth-bound response .

I'm talking about illegal fishing , logging , mining or building in nature reserves , the more of that we predict early the more we're able to stop it on time.

At least that's the concept !

check out the blog : https://huggingface.co/blog/Tonic/save-patagonia-by-predicting-earth


- Collection: https://huggingface.co/collections/NuTonic/earth-observation-with-temporal-and-general-understanding
- Code: https://github.com/Josephrp/Nutonic
- Dataset: NuTonic/sat-vl-sft-training-ready-v1
- Model: NuTonic/lspace
- Training: NuTonic/lspace-trackio
- Evals: NuTonic/Patagonia_Eval
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Tonicย 
posted an update 5 months ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks,

since everyone liked my previous announcement post ( https://huggingface.co/posts/Tonic/338509028435394 ) so much , i'm back with more high quality proceedural datasets in the Geospacial domain for SFT training !

Check this one out :
NuTonic/sat-bbox-metadata-sft-v1

the goal is to be able to train vision models on multiple images for remote sensing analysis with one shot .

hope you like it ! ๐Ÿš€
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