#qwen3 — Public Fediverse posts

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

RT @UnslothAI: Qwen3.8-Flash kann nun mit MTP lokal 1,7× schneller ausgeführt werden!⚡️

mehr auf Arint.info

#GGUF #Inference #KI #LLM #MTP #Qwen3 #arint_info

https://x.com/UnslothAI/status/2095157074112164072

RT @UnslothAI: Qwen3.8-Flash kann nun mit MTP lokal 1,7× schneller ausgeführt werden!⚡️

mehr auf Arint.info

#GGUF #Inference #KI #LLM #MTP #Qwen3 #arint_info

https://x.com/UnslothAI/status/2095157074112164072

RT @UnslothAI: Qwen3.8-Flash kann nun mit MTP lokal 1,7× schneller ausgeführt werden!⚡️

mehr auf Arint.info

#GGUF #Inference #KI #LLM #MTP #Qwen3 #arint_info

https://x.com/UnslothAI/status/2095157074112164072

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?

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?

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?

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

https://x.com/bnjmn_marie/status/2094981497430413606

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

https://x.com/bnjmn_marie/status/2094981497430413606

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

https://x.com/bnjmn_marie/status/2094981497430413606

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

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

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

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

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

Just ran Qwen3.8-Flash-Next locally with Unsloth UD-IQ3_XXS quantization. Set thinking mode to XHIGH.

@simon's classic prompt: Generate an SVG of a pelican riding a bicycle.

Local AI is getting scarily good.

#LocalAI #Qwen3 #Unsloth #GenerativeAI

Qwen 3.8 27B is excellent, but it defaults to overthinking things

https://simonwillison.net/2026/Aug/16/qwen-38-27b/

Comments: https://news.ycombinator.com/item?id=49324985

#HackerNews #Qwen3.8 #Overthinking #AI #TechNews #Innovation