vibeslop!! come getcher vibeslop here!! free vibeslop! (post your disposable vibecoded stuff here, for fun)
vibeslop /vΔ«bΛslΕp/ noun a vibecoded project or mini-project so disposable it deserves its own specβ¦
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vibeslop!! come getcher vibeslop here!! free vibeslop! (post your disposable vibecoded stuff here, for fun)
vibeslop /vΔ«bΛslΕp/ noun a vibecoded project or mini-project so disposable it deserves its own specβ¦
I'm still running Qwen 3.5 122B. Should I switch to Qwen 3.8 27B?
I see everyone gushing over 3.8, I get the impression people find it drastically better than previouβ¦
Is ternary (1.58-bit) LLMs making a come back?
I'm just thinking, ever since microsoft announced bitnet, this sub (and myself) has been hoping for β¦
LittleLearner: Language Models Under Pedagogically-Controlled Knowledge Exposure
Modern LMs are trained on everything at once, so it is hard to tell whether a new skill was learned β¦
If you are at the lowest budget, which you can think of.Which hardware would you recommend to run? qwen 3.8 27b oWith like 50 tokens per second. I currently have a RTX 5070 Ti.
submitted by /u/InternationalGap3698 [link] [comments]β¦
Anyone still use turboquant?
I havenβt used it in a while, is it still worth it? submitted by /u/Adventurous-Gold6413 [liβ¦
Qwen3.8-27B abliterated FP8: refusal 64β99% β 0β6%, and MMLU/GSM8K move less than 1.3 points
Been reading the eval table on the abliterated Qwen3.8-27B FP8 build instead of the release notes. Iβ¦
How many people have 24gb over gpu here?
I was surprised by the fact that the qwen 3.8 27b download count is about 1 million (globally). Thisβ¦
Show-off Saturday: Intel Arc B140 build.
My local inference build, with: ASUS WS C422 PRO/SE 10-core Xeon W-2255 64GB ECC RAM 64GB VRAM Pimpeβ¦
Qwen3.8-27B vs Qwen3.6-27B writing ray-tracers in BASIC
one of my llm hobbies is re-creating graphics demos i used to write in BASIC in the late 1980s. i slβ¦
SOTA Apple Silicon Inference (August 15, 2026)
This is a HANDWRITTEN post. I spent way too much time trying to get fast inference on Apple Silicon.β¦
The perfect way for Google to screw over OAI and Anthropic is by releasing a 120B dense multimodal Gemma model
The two leading labs are already feeling extremely threatened by Qwen & friends, however I think theβ¦