Codacus

Here is another one with Qwen3.8 Flash Next : IQ3_S

Here is one from me.. since this is a trend now qwen 3.8 flash q3 on 12GB gpu 64GB ram

Since everyone is running glm now.. here is mine GLM-5.3-Flash, a 321B model, running on two RTX 3060s (24 GB VRAM total). 13 tokens/s. 325 t/s prompt reading. Engine: Project Maya. Quant: Maya S24

we have seen the video where Anthropic finds emotion directions inside Claude and nudges them to change its behaviour. Thought that was cool, so I tried it on Gemma 4 12B, little modification to the llama.cpp, and here we go

yes mtp works in there, but i had to put it on cpu instead of gpu, because of the limited vram. this is the full command I used for my setup. you need to generate the static expert profile for caching them on gpu. the read me has the details

Wow, gemini flash 2.0 is killing it one single prompt "make a react landing page" in @boltdotdiy , also check the setting to get this result in the reply #aicoding #ai

here are some outputs of @boltdotdiy with #DeepSeekR1 with single prompt (added setting configuration for this to work) thanks to @deepseek for open sourcing such a brilliant model and pushing the wall of "open ai" further #boltdiy #bolt

Saas Product Work in progress, cashierpro.in #SaaS #Inventory #POS #webdesigner

Deep Learning Tutorial in Python #12 Create Image Classifier - Part3: youtu.be/bwxIHutdqOM?a via @YouTube