"Helide" (say HE-lied) is an ion of helium -- famously a very unreactive element, which doesn't form ions in most conditions.

This is a merge of pre-trained language models created using mergekit.

An experimental merge of the legendary L3-8B-Stheno with Fizzarolli's Rosier. The aim is to improve Stheno's "ball-rolling" capabilities and reduce its awkwardness with more niche content. For a first go, I'm surprised at how well it's doing so far, but given that this is literally my first LLM project ever, probably temper your expectations.

Since R1: Changed to task-arithmetic. Snazzy new model card image.

Since R2: Fixed unnecessary conversion.

Since R3: Tweaked ratios, Rosier's influence cut in half.

Since R4: Scrubbin' it down. +0.08 to Rosier (pre-normalization). Closing in on a good ratio.

Since R5: Doubled both ratios; since normalization is enabled, this should essentially be the same as R5, but it makes the numbers nicer to work with, as now they can be envisioned as a ratio against 1. (Edit: They have the same SHA-256 sums, so they're literally identical.)

This model was merged using the task arithmetic merge method using NousResearch/Meta-Llama-3-8B as a base.

The following models were included in the merge:

The following YAML configuration was used to produce this model: