- 10 Posts
- 6 Comments
Shatur@discuss.tchncs.deOPto
LocalLLaMA@sh.itjust.works•Anthropic quietly bans recreating existing games in Claude CodeEnglish
4·9 hours agoI didn’t know it has ads. I used it to avoid sending a direct link to Twitter.
Shatur@discuss.tchncs.deOPto
LocalLLaMA@sh.itjust.works•Qwen4 models will have a 1M context windowEnglish
2·1 day agoI assume it’s to simplify the review process. Or to generate more hype. Or both.
They announced that it would be released next week, so I doubt they’ve only just started training it.
Shatur@discuss.tchncs.deOPto
LocalLLaMA@sh.itjust.works•Apsara conference: Qwen4 next weekEnglish
3·1 day agoThere will be Flash, 27B and 2 other models called Plus and Max.
Shatur@discuss.tchncs.deOPto
LocalLLaMA@sh.itjust.works•Qwen4 models will have a 1M context windowEnglish
1·2 days agoThey most likely used a local fork for a while.
Shatur@discuss.tchncs.deOPto
LocalLLaMA@sh.itjust.works•Qwen4 models will have a 1M context windowEnglish
5·2 days agoI heard some people use adaptive kv streaming to fit large contexts. Unfortunately, it’s not merged into the upstream yet.
Try Ternary Bonsai. It’s a heavily quantized version of Qwen 3.8 27b. It won’t do wonders, but it shoud be better: https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf-dev The page says you need a fork of llama.cpp, but the support was included in the latest release (0.7). You can read more about the mode on the main model page: https://huggingface.co/prism-ml/Ternary-Bonsai-27B-gguf



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