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Evan

evdcush

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liked a model about 19 hours ago

Menlo/Jan-nano

liked a model 7 days ago

mistralai/Magistral-Small-2506

reacted to m-ric's post with 🔥 9 days ago

I've made an open version of Google's NotebookLM, and it shows the superiority of the open source tech task! 💪 The app's workflow is simple. Given a source PDF or URL, it extracts the content from it, then tasks Meta's Llama 3.3-70B with writing the podcast script, with a good prompt crafted by @gabrielchua ("two hosts, with lively discussion, fun notes, insightful question etc.") Then it hands off the text-to-speech conversion to Kokoro-82M, and there you go, you have two hosts discussion any article. The generation is nearly instant, because: > Llama 3.3 70B is running at 1,000 tokens/seconds with Cerebras inference > The audio is generated in streaming mode by the tiny (yet powerful) Kokoro, generating voices faster than real-time. And the audio generation runs for free on Zero GPUs, hosted by HF on H200s. Overall, open source solutions rival the quality of closed-source solutions at close to no cost! Try it here 👉👉 https://huggingface.co/spaces/m-ric/open-notebooklm

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evdcush's activity

liked a model about 19 hours ago

Menlo/Jan-nano

Text Generation • Updated 1 day ago • 4.96k • 268

liked a model 7 days ago

mistralai/Magistral-Small-2506

Text Generation • Updated 4 days ago • 23k • • 491

reacted to m-ric's post with 🔥 9 days ago

Post

4470

I've made an open version of Google's NotebookLM, and it shows the superiority of the open source tech task! 💪

The app's workflow is simple. Given a source PDF or URL, it extracts the content from it, then tasks Meta's Llama 3.3-70B with writing the podcast script, with a good prompt crafted by @gabrielchua ("two hosts, with lively discussion, fun notes, insightful question etc.")
Then it hands off the text-to-speech conversion to Kokoro-82M, and there you go, you have two hosts discussion any article.

The generation is nearly instant, because:
> Llama 3.3 70B is running at 1,000 tokens/seconds with Cerebras inference
> The audio is generated in streaming mode by the tiny (yet powerful) Kokoro, generating voices faster than real-time.

And the audio generation runs for free on Zero GPUs, hosted by HF on H200s.

Overall, open source solutions rival the quality of closed-source solutions at close to no cost!

Try it here 👉👉 m-ric/open-notebooklm