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helide-alpha-r5

Text Generation
Transformers
Safetensors
llama
mergekit
Merge
text-generation-inference
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helide-alpha-r5
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---
base_model:
- Fizzarolli/L3-8b-Rosier-v1
- NousResearch/Meta-Llama-3-8B
- Sao10K/L3-8B-Stheno-v3.2
library_name: transformers
tags:
- mergekit
- merge

---
![By NovelAI](https://huggingface.co/inflatebot/helide-alpha-r2/resolve/main/img.png)
`"Helide" (say HE-lied) is an ion of helium -- famously a very unreactive element, which doesn't form ions in most conditions.`

GGUFs available from [mradermacher](https://huggingface.co/mradermacher/helide-alpha-r5-GGUF) (appreciate it!!)

# 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.

### 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: 0.5
  - model: Fizzarolli/L3-8b-Rosier-v1
    parameters:
      weight: 0.33

merge_method: task_arithmetic
base_model: NousResearch/Meta-Llama-3-8B
parameters:
  normalize: true
dtype: bfloat16

```