In a Q&A on fine-tuning large language models, Sahar advises using the Instruct version of models like Llama 3.1 8B, Gemma 2 9B, and Mistral 7B for most tasks, including multiple-text classification, …
Solo indie developer from Japan upgraded the local LLM powering the commercial game Hex Judge from Gemma 2 9B to Gemma 4 E4B, cutting AI conversation startup time on an RTX 2060 from about 45 seconds …
A new arXiv study (2608.18164v1) found that emoji-augmented prompts expose safety evaluation gaps in large language models, with success rates varying from 0% to 10% across four open-source models. Ge…
Homebench, a local LLM benchmarking tool, tested five models on an RTX 3060 12GB, finding Qwen 2.5 7B fastest at ~58 tokens/sec and LLaMA 3 8B highest quality at 8.2/10, while Mistral Nemo 12B underpe…
Ollama has become the standard tool for running local AI models, enabling users to install, download a model, and start chatting entirely offline in under 15 minutes. The three-step process involves i…
A developer claims that fusing three small local language models at the logit level on a laptop can match the reasoning of Anthropic's Fable 5, avoiding the cost and latency of centralized APIs. The t…
Researchers have developed TriEval, a resource-efficient pipeline that simultaneously evaluates large language models for bias, toxicity, and truthfulness. The tool runs on standard laptops without GP…