File size: 2,208 Bytes
3506d7a d9f7ea3 3506d7a d9f7ea3 7c00be0 3506d7a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
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](https://github.com/cg123/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](https://arxiv.org/abs/2212.04089) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.
### Models Merged
The following models were included in the merge:
* [Fizzarolli/L3-8b-Rosier-v1](https://huggingface.co/Fizzarolli/L3-8b-Rosier-v1)
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
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
```
|