base_model:
- Fizzarolli/L3-8b-Rosier-v1
- NousResearch/Meta-Llama-3-8B
- Sao10K/L3-8B-Stheno-v3.2
library_name: transformers
tags:
- mergekit
- merge
"Helide" (say HE-lied) is an ion of helium -- famously a very unreactive element, which doesn't form ions in most conditions.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
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.)
Merge Method
This model was merged using the task arithmetic merge method using NousResearch/Meta-Llama-3-8B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
weight: 1
- model: Fizzarolli/L3-8b-Rosier-v1
parameters:
weight: 0.66
merge_method: task_arithmetic
base_model: NousResearch/Meta-Llama-3-8B
parameters:
normalize: true
dtype: bfloat16