Developer Anassbzdd released FitCheck, an open-source tool that estimates peak VRAM for LoRA, QLoRA, and full LLM fine-tuning and for serving based on model weights and KV cache, reading a model's Hug…
A developer published a step-by-step guide for deploying Gemma 4 E2B on a Google Compute Engine instance with a single Tesla T4 GPU, using a minimal n1-standard-2 host and a 250 GB data disk mounted a…
A developer deployed Google's Gemma 4 E2B to a single Tesla T4 GPU on a Compute Engine VM using vLLM 0.29.0, finding that the QAT int4-weight checkpoint decodes at 72.31 tok/s per stream versus 40.44 …
A developer fine-tuned GLiNER large v2.5 (459M) to 0.83 F1 against Gemini 3.1 Pro's labels for named-entity recognition on Reddit knife comments, after zero-shot GLiNER scored about 0.65 F1. Gemini la…
Unsloth AI Founding Engineer Challenge #1 produced a Triton GPU kernel for NF4 dequantization that achieves 1.27x–1.72x speedup over the existing bitsandbytes C++ implementation across all tested tens…
A student fine-tuned Meta's Llama 3.1 8B model for multi-step mathematical reasoning using Unsloth, LoRA, and a 'Silent Coder' approach, all within the RAM limits of a free Google Colab instance with …
A new physics-informed AI pipeline uses supervised LoRA fine-tuning on a small language model to reliably output structured engineering data, which a deterministic physics checker then validates. The …