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Lukman Hakim

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reacted to diwank's post with 🔥 29 days ago
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1292
Excited to announce *Open Responses* – a self-hosted alternative to OpenAI's new _Responses API_ that you can run locally, and use with ANY LLM model / provider and not just with OpenAI Responses API. What's more is that this is also compatible with their agents-sdk so everything just works out of the box!

To try it out, just run npx -y open-responses init (or uvx) and that's it! :)

Would love feedback and support for adding local HF models, @akhaliq @bartowski @prithivMLmods @julien-c @clefourrier @philschmid

We’d love feedback from the Hugging Face community on how it integrates with your pipelines (support for Hugging Face models landing soon!). Let’s push open-source AI forward together!

Docs:
https://docs.julep.ai/responses/quickstart

Repo:
https://github.com/julep-ai/open-responses

agents-sdk:
https://platform.openai.com/docs/guides/agents
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reacted to AdinaY's post with 🔥 29 days ago
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1690
A new OPEN Omni model just dropped by @Alibaba_Qwen on the hub🔥🤯

Qwen2.5-Omni: a 7B end-to-end multimodal model
Qwen/Qwen2.5-Omni-7B

✨ Thinker-Talker architecture
✨ Real-time voice & video chat
✨ Natural speech generation
✨ Handles text, image, audio & video
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reacted to Keltezaa's post with 🔥 29 days ago
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2181
Is it just me or are the ZeroGPU not refreshing/restoring/regen...?
Last time I used my allocated ZeroGPU was over 4 hours ago and I have only recovered 70 seconds?

WTF..is going on? Correct me if I am wrong here but something is "OFF".
And I still feel as a Subscriber, the regen is way to slow.
Please Fix this for all of us.
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reacted to luigi12345's post with 🔥 29 days ago
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2439
🔥 ULTRA VIDEO COMPRESSION (300MB → 3MB!)
ffmpeg -i input.mp4 -vcodec libx264 -crf 28 -vf "pad=ceil(iw/2)*2:ceil(ih/2)*2" -y output.mp4

-i → Input ⚡️ -vcodec libx264 → H.264 codec ⚡️ -crf 28 → Compression (lower = better quality) ⚡️-vf pad=... → Even dimensions ⚡️ -y → Overwrite
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reacted to ZennyKenny's post with 🔥 29 days ago
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1935
Besides being the coolest named benchmark in the game, HellaSwag is an important measurement of здравый смысль (or common sense) in LLMs.

- More on HellaSwag: https://github.com/rowanz/hellaswag

I spent the afternoon benchmarking YandexGPT Pro 4th Gen, one of the Russian tech giant's premier models.

- Yandex HF Org: yandex
- More on Yandex models: https://yandex.cloud/ru/docs/foundation-models/concepts/yandexgpt/models

The eval notebook is available on GitHub and the resulting dataset is already on the HF Hub!

- Eval Notebook: https://github.com/kghamilton89/ai-explorer/blob/main/yandex-hellaswag/hellaswag-assess.ipynb
- Eval Dataset: ZennyKenny/yandexgptpro_4th_gen-hellaswag

And of course, everyone wants to see the results so have a look at the results in the context of other zero-shot experiments that I was able to find!
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