Chat LLaMA vs DATAKU

Chat LLaMA is a downloadable package from SERP AI that lets you run personal assistant conversations locally on your own GPU. It ships LoRA fine-tuning weights trained on Anthropic's HH dataset, built to model back-and-forth dialogue between an assistant and a user rather than one-shot prompts.

The product bundles weight files for multiple LLaMA sizes plus a desktop GUI so you can load models and chat without writing your own inference stack. SERP AI lists 7B, 13B, and 30B variants, including 2048-sequence options, and notes an RLHF version of the LoRA weights is coming soon.

It is sold as a $3 digital download through the SERP AI Gumroad storefront at stuff.serp.ai. The listing states the release is intended for research, does not include foundation model weights, and points buyers to a Discord community for setup help.

DATAKU is a data science site that tracks AI benchmarks, API pricing, and model releases, then packages the numbers into free calculators and downloadable datasets. The homepage archives articles on inference costs, funding rounds, and head-to-head model comparisons, while the Tools section hosts eight utilities such as an LLM cost calculator, benchmark decoder, and model graveyard.

Most AI news sites summarize press releases. DATAKU cross-references provider docs, leaderboard scores, and its own pricing tables, which is why the downloadable datasets page lists 48-row pricing histories and 62-row benchmark score tables under CC BY 4.0 licenses.

Data analysts, ML engineers, and buyers use DATAKU when they need cost-per-token math, benchmark context, or CSV exports instead of marketing claims. The About page describes the project as benchmark and pricing tracking run by a former Tokyo data analyst.