TheStageAI/Elastic-Z-Image-Turbo
Updated • 148 • 2
Kirill
hypothetical
AI & ML interests
DNNs, differential geometry, algebraic topology, cryptography
Recent Activity
liked a model 14 days ago
TheStageAI/Elastic-Z-Image-Turbo posted an update about 2 months ago
Very cool updates! With our stack you can do the same for your networks!
Wan 2.2 generation during 34 seconds on a single H100!
Stack is general and can be applied to your neural networks for acceleration.
https://app.thestage.ai/blog/Generate-Wan-2.2-Videos-5.3x-Faster-with-Qlip?id=10
https://huggingface.co/TheStageAI/Wan2.2-T2V-A14B reacted to theirpost with 🤗 2 months ago
An intuitive, simple, open-source experiment dashboard built with Streamlit. It offers pre-defined layouts for different evaluations and convenient overlay comparisons of outputs, which are especially valuable during model compression when comparing results with the original model.
Github: https://github.com/TheStageAI/Spikes-Pipes
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liked a
model 14 days ago
posted an update about 2 months ago
Post
166
Very cool updates! With our stack you can do the same for your networks!
Wan 2.2 generation during 34 seconds on a single H100!
Stack is general and can be applied to your neural networks for acceleration.
https://app.thestage.ai/blog/Generate-Wan-2.2-Videos-5.3x-Faster-with-Qlip?id=10
TheStageAI/Wan2.2-T2V-A14B
Wan 2.2 generation during 34 seconds on a single H100!
Stack is general and can be applied to your neural networks for acceleration.
https://app.thestage.ai/blog/Generate-Wan-2.2-Videos-5.3x-Faster-with-Qlip?id=10
TheStageAI/Wan2.2-T2V-A14B
reacted to their post with 🤗 2 months ago
Post
1135
An intuitive, simple, open-source experiment dashboard built with Streamlit. It offers pre-defined layouts for different evaluations and convenient overlay comparisons of outputs, which are especially valuable during model compression when comparing results with the original model.
Github: https://github.com/TheStageAI/Spikes-Pipes
Github: https://github.com/TheStageAI/Spikes-Pipes
posted an update 2 months ago
Post
1135
An intuitive, simple, open-source experiment dashboard built with Streamlit. It offers pre-defined layouts for different evaluations and convenient overlay comparisons of outputs, which are especially valuable during model compression when comparing results with the original model.
Github: https://github.com/TheStageAI/Spikes-Pipes
Github: https://github.com/TheStageAI/Spikes-Pipes
updated a
model 3 months ago
Delete subscription/macos_ios/engines.zip
#1 opened 3 months ago
by 
hypothetical
updated a
collection 4 months ago
Update README.md
#2 opened 5 months ago
by hypothetical
reacted to their post with 🚀 5 months ago
Post
2622
We thought it would be easier, but finally we have integrated CuDNN Paged Attention to our models!
Read article here: https://app.thestage.ai/blog/Integrating-cuDNN-Paged-Attention-to-TheStage-AI-Inference?id=8
Llama-8B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Llama-3.1-8B-Instruct
Mistral-Small-24B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Mistral-Small-3.1-24B-Instruct-2503
Read article here: https://app.thestage.ai/blog/Integrating-cuDNN-Paged-Attention-to-TheStage-AI-Inference?id=8
Llama-8B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Llama-3.1-8B-Instruct
Mistral-Small-24B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Mistral-Small-3.1-24B-Instruct-2503
posted an update 5 months ago
Post
2622
We thought it would be easier, but finally we have integrated CuDNN Paged Attention to our models!
Read article here: https://app.thestage.ai/blog/Integrating-cuDNN-Paged-Attention-to-TheStage-AI-Inference?id=8
Llama-8B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Llama-3.1-8B-Instruct
Mistral-Small-24B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Mistral-Small-3.1-24B-Instruct-2503
Read article here: https://app.thestage.ai/blog/Integrating-cuDNN-Paged-Attention-to-TheStage-AI-Inference?id=8
Llama-8B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Llama-3.1-8B-Instruct
Mistral-Small-24B with CuDNN paged attention, including B200 support: TheStageAI/Elastic-Mistral-Small-3.1-24B-Instruct-2503
liked a
model 5 months ago
published a
model 5 months ago
liked 2
models 5 months ago
replied to their post 5 months ago
Thank you!
add languages, base model, update license
#3 opened 5 months ago
by hypothetical
reacted to their post with 🔥 5 months ago
Post
2062
We have updated our transcription model: TheStageAI/thewhisper-large-v3-turbo
– 6.00 WER on the English Open ASR Leaderboard
– 4.74 WER on the Multilingual Open ASR Leaderboard
– Beats NVIDIA Parakeet (6.34 WER) and Whisper-large-v3-turbo (7.8 WER)
– Strong improvements in Arabic, Hindi, Chinese
– Maintains quality with background and environmental noise
– Optimized inference engines for NVIDIA and Apple
– Hugging Face Transformers interface for easy use
– Best-in-class speed on NVIDIA GPUs and power efficiency on Apple devices
– NVIDIA Jetson Thor support
– 6.00 WER on the English Open ASR Leaderboard
– 4.74 WER on the Multilingual Open ASR Leaderboard
– Beats NVIDIA Parakeet (6.34 WER) and Whisper-large-v3-turbo (7.8 WER)
– Strong improvements in Arabic, Hindi, Chinese
– Maintains quality with background and environmental noise
– Optimized inference engines for NVIDIA and Apple
– Hugging Face Transformers interface for easy use
– Best-in-class speed on NVIDIA GPUs and power efficiency on Apple devices
– NVIDIA Jetson Thor support
- 2 replies
posted an update 5 months ago
Post
2062
We have updated our transcription model: TheStageAI/thewhisper-large-v3-turbo
– 6.00 WER on the English Open ASR Leaderboard
– 4.74 WER on the Multilingual Open ASR Leaderboard
– Beats NVIDIA Parakeet (6.34 WER) and Whisper-large-v3-turbo (7.8 WER)
– Strong improvements in Arabic, Hindi, Chinese
– Maintains quality with background and environmental noise
– Optimized inference engines for NVIDIA and Apple
– Hugging Face Transformers interface for easy use
– Best-in-class speed on NVIDIA GPUs and power efficiency on Apple devices
– NVIDIA Jetson Thor support
– 6.00 WER on the English Open ASR Leaderboard
– 4.74 WER on the Multilingual Open ASR Leaderboard
– Beats NVIDIA Parakeet (6.34 WER) and Whisper-large-v3-turbo (7.8 WER)
– Strong improvements in Arabic, Hindi, Chinese
– Maintains quality with background and environmental noise
– Optimized inference engines for NVIDIA and Apple
– Hugging Face Transformers interface for easy use
– Best-in-class speed on NVIDIA GPUs and power efficiency on Apple devices
– NVIDIA Jetson Thor support
- 2 replies
updated a
collection 5 months ago
upvoted a collection 5 months ago