#qwen3 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #qwen3, aggregated by home.social.
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Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
https://quesma.com/blog/qwen38-27b-quantizations-benchmarked/
Comments: https://news.ycombinator.com/item?id=49611128
#HackerNews #Benchmarking #Qwen3.8 #27B #quantizations #4bit #1bit #AIperformance #Qwen38
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Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
https://quesma.com/blog/qwen38-27b-quantizations-benchmarked/
Comments: https://news.ycombinator.com/item?id=49611128
#HackerNews #Benchmarking #Qwen3.8 #27B #quantizations #4bit #1bit #AIperformance #Qwen38
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Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
https://quesma.com/blog/qwen38-27b-quantizations-benchmarked/
Comments: https://news.ycombinator.com/item?id=49611128
#HackerNews #Benchmarking #Qwen3.8 #27B #quantizations #4bit #1bit #AIperformance #Qwen38
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Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
https://quesma.com/blog/qwen38-27b-quantizations-benchmarked/
Comments: https://news.ycombinator.com/item?id=49611128
#HackerNews #Benchmarking #Qwen3.8 #27B #quantizations #4bit #1bit #AIperformance #Qwen38
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Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses
https://quesma.com/blog/qwen38-27b-quantizations-benchmarked/
Comments: https://news.ycombinator.com/item?id=49611128
#HackerNews #Benchmarking #Qwen3.8 #27B #quantizations #4bit #1bit #AIperformance #Qwen38
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RT @OrcaRouter: Jemand hat unabhängig 8 verschiedene Qwen3.8-27B-Modelle ohne Zensur oder Abliteration benchmarkt.
mehr auf Arint.info
#Abliteration #AIResearch #Benchmark #LLM #OrcaRouter #Qwen3 #arint_info
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RT @OrcaRouter: Jemand hat unabhängig 8 verschiedene Qwen3.8-27B-Modelle ohne Zensur oder Abliteration benchmarkt.
mehr auf Arint.info
#Abliteration #AIResearch #Benchmark #LLM #OrcaRouter #Qwen3 #arint_info
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RT @OrcaRouter: Jemand hat unabhängig 8 verschiedene Qwen3.8-27B-Modelle ohne Zensur oder Abliteration benchmarkt.
mehr auf Arint.info
#Abliteration #AIResearch #Benchmark #LLM #OrcaRouter #Qwen3 #arint_info
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RT @OrcaRouter: Jemand hat unabhängig 8 verschiedene Qwen3.8-27B-Modelle ohne Zensur oder Abliteration benchmarkt.
mehr auf Arint.info
#Abliteration #AIResearch #Benchmark #LLM #OrcaRouter #Qwen3 #arint_info
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RT @OrcaRouter: Jemand hat unabhängig 8 verschiedene Qwen3.8-27B-Modelle ohne Zensur oder Abliteration benchmarkt.
mehr auf Arint.info
#Abliteration #AIResearch #Benchmark #LLM #OrcaRouter #Qwen3 #arint_info
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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
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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
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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
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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
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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
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🚀🎉 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? 💸🔍
https://inference-docs.cerebras.ai/models/overview #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated -
🚀🎉 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? 💸🔍
https://inference-docs.cerebras.ai/models/overview #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated -
🚀🎉 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? 💸🔍
https://inference-docs.cerebras.ai/models/overview #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated -
🚀🎉 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? 💸🔍
https://inference-docs.cerebras.ai/models/overview #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated -
🚀🎉 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? 💸🔍
https://inference-docs.cerebras.ai/models/overview #Qwen3.8 #TechBuzz #DigitalMaze #TreasureHunt #HackerNews #ngated -
Qwen 3.8 27B available on Cerebras at 1500 tok/SEC
https://inference-docs.cerebras.ai/models/overview
Comments: https://news.ycombinator.com/item?id=49554520
#HackerNews #Qwen3.8 #Cerebras #AI #Model #1500tok #SEC #MachineLearning
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Qwen 3.8 27B available on Cerebras at 1500 tok/SEC
https://inference-docs.cerebras.ai/models/overview
Comments: https://news.ycombinator.com/item?id=49554520
#HackerNews #Qwen3.8 #Cerebras #AI #Model #1500tok #SEC #MachineLearning
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Qwen 3.8 27B available on Cerebras at 1500 tok/SEC
https://inference-docs.cerebras.ai/models/overview
Comments: https://news.ycombinator.com/item?id=49554520
#HackerNews #Qwen3.8 #Cerebras #AI #Model #1500tok #SEC #MachineLearning
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Qwen 3.8 27B available on Cerebras at 1500 tok/SEC
https://inference-docs.cerebras.ai/models/overview
Comments: https://news.ycombinator.com/item?id=49554520
#HackerNews #Qwen3.8 #Cerebras #AI #Model #1500tok #SEC #MachineLearning
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Qwen 3.8 27B available on Cerebras at 1500 tok/SEC
https://inference-docs.cerebras.ai/models/overview
Comments: https://news.ycombinator.com/item?id=49554520
#HackerNews #Qwen3.8 #Cerebras #AI #Model #1500tok #SEC #MachineLearning
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RT @UnslothAI: Qwen3.8-Flash kann nun mit MTP lokal 1,7× schneller ausgeführt werden!⚡️
mehr auf Arint.info
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RT @UnslothAI: Qwen3.8-Flash kann nun mit MTP lokal 1,7× schneller ausgeführt werden!⚡️
mehr auf Arint.info
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RT @UnslothAI: Qwen3.8-Flash kann nun mit MTP lokal 1,7× schneller ausgeführt werden!⚡️
mehr auf Arint.info
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RT @bnjmn_marie: Ich habe 15 GGUF-Versionen von Qwen3.8 27B von Q4 bis Q1 mit mehr als 150 Millionen generierten Tokens benchmarkt.
mehr auf Arint.info
#AIModeling #GGUF #LLMQuantization #MachineLearning #Qwen3 #arint_info
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RT @bnjmn_marie: Ich habe 15 GGUF-Versionen von Qwen3.8 27B von Q4 bis Q1 mit mehr als 150 Millionen generierten Tokens benchmarkt.
mehr auf Arint.info
#AIModeling #GGUF #LLMQuantization #MachineLearning #Qwen3 #arint_info
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RT @bnjmn_marie: Ich habe 15 GGUF-Versionen von Qwen3.8 27B von Q4 bis Q1 mit mehr als 150 Millionen generierten Tokens benchmarkt.
mehr auf Arint.info
#AIModeling #GGUF #LLMQuantization #MachineLearning #Qwen3 #arint_info
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Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s
https://github.com/carloslfu/slotstream
Comments: https://news.ycombinator.com/item?id=49524447
#HackerNews #Running #Qwen3.8-Flash-Next #Mac #Performance #AI #104GB
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Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s
https://github.com/carloslfu/slotstream
Comments: https://news.ycombinator.com/item?id=49524447
#HackerNews #Running #Qwen3.8-Flash-Next #Mac #Performance #AI #104GB
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Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s
https://github.com/carloslfu/slotstream
Comments: https://news.ycombinator.com/item?id=49524447
#HackerNews #Running #Qwen3.8-Flash-Next #Mac #Performance #AI #104GB
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Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s
https://github.com/carloslfu/slotstream
Comments: https://news.ycombinator.com/item?id=49524447
#HackerNews #Running #Qwen3.8-Flash-Next #Mac #Performance #AI #104GB
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Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s
https://github.com/carloslfu/slotstream
Comments: https://news.ycombinator.com/item?id=49524447
#HackerNews #Running #Qwen3.8-Flash-Next #Mac #Performance #AI #104GB
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Lokale KI erstmals auf Cloud-Niveau?
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RT @danieltvela: Ich habe Qwen3.8-Flash-Next auf einem PRO 6000 mit ~56 GB DRAM am Laufen.
mehr auf Arint.info
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RT @danieltvela: Ich habe Qwen3.8-Flash-Next auf einem PRO 6000 mit ~56 GB DRAM am Laufen.
mehr auf Arint.info
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RT @danieltvela: Ich habe Qwen3.8-Flash-Next auf einem PRO 6000 mit ~56 GB DRAM am Laufen.
mehr auf Arint.info
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RT @danieltvela: Ich habe Qwen3.8-Flash-Next auf einem PRO 6000 mit ~56 GB DRAM am Laufen.
mehr auf Arint.info
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RT @danieltvela: Ich habe Qwen3.8-Flash-Next auf einem PRO 6000 mit ~56 GB DRAM am Laufen.
mehr auf Arint.info
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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 -
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 -
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 -
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 -
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
