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#qwen3 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #qwen3, aggregated by home.social.

  1. RT @imnotchalk: Qwen3.8 27B ist jetzt im @cerebras Shared Tier verfügbar mit einer Geschwindigkeit von ~1500 Token pro Sekunde. 🚀

    mehr auf Arint.info

    #AI #Cerebras #LLM #MachineLearning #Qwen3 #TechNews #arint_info

    https://x.com/imnotchalk/status/2095637567979114654

  2. RT @imnotchalk: Qwen3.8 27B ist jetzt im @cerebras Shared Tier verfügbar mit einer Geschwindigkeit von ~1500 Token pro Sekunde. 🚀

    mehr auf Arint.info

    #AI #Cerebras #LLM #MachineLearning #Qwen3 #TechNews #arint_info

    https://x.com/imnotchalk/status/2095637567979114654

  3. RT @imnotchalk: Qwen3.8 27B ist jetzt im @cerebras Shared Tier verfügbar mit einer Geschwindigkeit von ~1500 Token pro Sekunde. 🚀

    mehr auf Arint.info

    #AI #Cerebras #LLM #MachineLearning #Qwen3 #TechNews #arint_info

    https://x.com/imnotchalk/status/2095637567979114654

  4. RT @imnotchalk: Qwen3.8 27B ist jetzt im @cerebras Shared Tier verfügbar mit einer Geschwindigkeit von ~1500 Token pro Sekunde. 🚀

    mehr auf Arint.info

    #AI #Cerebras #LLM #MachineLearning #Qwen3 #TechNews #arint_info

    https://x.com/imnotchalk/status/2095637567979114654

  5. RT @imnotchalk: Qwen3.8 27B ist jetzt im @cerebras Shared Tier verfügbar mit einer Geschwindigkeit von ~1500 Token pro Sekunde. 🚀

    mehr auf Arint.info

    #AI #Cerebras #LLM #MachineLearning #Qwen3 #TechNews #arint_info

    https://x.com/imnotchalk/status/2095637567979114654

  6. 🚀🎉 Big news, everyone! The latest and greatest Qwen 3.8 27B is out on #Cerebras, promising to process text faster than you can say "overhyped tech jargon." Just navigate through a labyrinth of buzzwords and obscure documentation to find out how to pay for it - because who doesn't love a treasure hunt through a digital maze? 💸🔍
    inference-docs.cerebras.ai/mod #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated

  7. 🚀🎉 Big news, everyone! The latest and greatest Qwen 3.8 27B is out on #Cerebras, promising to process text faster than you can say "overhyped tech jargon." Just navigate through a labyrinth of buzzwords and obscure documentation to find out how to pay for it - because who doesn't love a treasure hunt through a digital maze? 💸🔍
    inference-docs.cerebras.ai/mod #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated

  8. 🚀🎉 Big news, everyone! The latest and greatest Qwen 3.8 27B is out on #Cerebras, promising to process text faster than you can say "overhyped tech jargon." Just navigate through a labyrinth of buzzwords and obscure documentation to find out how to pay for it - because who doesn't love a treasure hunt through a digital maze? 💸🔍
    inference-docs.cerebras.ai/mod #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated

  9. 🚀🎉 Big news, everyone! The latest and greatest Qwen 3.8 27B is out on #Cerebras, promising to process text faster than you can say "overhyped tech jargon." Just navigate through a labyrinth of buzzwords and obscure documentation to find out how to pay for it - because who doesn't love a treasure hunt through a digital maze? 💸🔍
    inference-docs.cerebras.ai/mod #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated

  10. 🚀🎉 Big news, everyone! The latest and greatest Qwen 3.8 27B is out on #Cerebras, promising to process text faster than you can say "overhyped tech jargon." Just navigate through a labyrinth of buzzwords and obscure documentation to find out how to pay for it - because who doesn't love a treasure hunt through a digital maze? 💸🔍
    inference-docs.cerebras.ai/mod #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated

  11. Another #localLLM #Qwen3.8 on 2x12GB VRAM test:

    Asked to write a browser-based #FTIR DX-data-to-graph render widget. It did so in less than 2 minutes. 🤯

    Attached are 3 graphs: 2 are from official lab tools - one generated by #GenAi code.

    Can you guess which one is which?

  12. Another #localLLM #Qwen3.8 on 2x12GB VRAM test:

    Asked to write a browser-based #FTIR DX-data-to-graph render widget. It did so in less than 2 minutes. 🤯

    Attached are 3 graphs: 2 are from official lab tools - one generated by #GenAi code.

    Can you guess which one is which?

  13. Another #localLLM #Qwen3.8 on 2x12GB VRAM test:

    Asked to write a browser-based #FTIR DX-data-to-graph render widget. It did so in less than 2 minutes. 🤯

    Attached are 3 graphs: 2 are from official lab tools - one generated by #GenAi code.

    Can you guess which one is which?

  14. Interesting: i gave claude and Qwen 3.5 9B the same problem to solve do a small home assistant automation. Qwen was running on my 5.5 year old Laptop (8 core Ryzen, 32gig Ram no useable GPU(at least i think so)) claude was done in 20sec, my Laptop needed 240sec but the endresult was nearly identical and correct. Also the annotations were nearly identical. Okay it is slow but better use my green power here than using claude which site in some coal powered AWS etc datacenter
    #ai #janai #qwen3.5

  15. Interesting: i gave claude and Qwen 3.5 9B the same problem to solve do a small home assistant automation. Qwen was running on my 5.5 year old Laptop (8 core Ryzen, 32gig Ram no useable GPU(at least i think so)) claude was done in 20sec, my Laptop needed 240sec but the endresult was nearly identical and correct. Also the annotations were nearly identical. Okay it is slow but better use my green power here than using claude which site in some coal powered AWS etc datacenter
    #ai #janai #qwen3.5

  16. Interesting: i gave claude and Qwen 3.5 9B the same problem to solve do a small home assistant automation. Qwen was running on my 5.5 year old Laptop (8 core Ryzen, 32gig Ram no useable GPU(at least i think so)) claude was done in 20sec, my Laptop needed 240sec but the endresult was nearly identical and correct. Also the annotations were nearly identical. Okay it is slow but better use my green power here than using claude which site in some coal powered AWS etc datacenter
    #ai #janai #qwen3.5

  17. Interesting: i gave claude and Qwen 3.5 9B the same problem to solve do a small home assistant automation. Qwen was running on my 5.5 year old Laptop (8 core Ryzen, 32gig Ram no useable GPU(at least i think so)) claude was done in 20sec, my Laptop needed 240sec but the endresult was nearly identical and correct. Also the annotations were nearly identical. Okay it is slow but better use my green power here than using claude which site in some coal powered AWS etc datacenter
    #ai #janai #qwen3.5

  18. Interesting: i gave claude and Qwen 3.5 9B the same problem to solve do a small home assistant automation. Qwen was running on my 5.5 year old Laptop (8 core Ryzen, 32gig Ram no useable GPU(at least i think so)) claude was done in 20sec, my Laptop needed 240sec but the endresult was nearly identical and correct. Also the annotations were nearly identical. Okay it is slow but better use my green power here than using claude which site in some coal powered AWS etc datacenter
    #ai #janai #qwen3.5