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--- |
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base_model: |
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- Fizzarolli/L3-8b-Rosier-v1 |
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- NousResearch/Meta-Llama-3-8B |
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- Sao10K/L3-8B-Stheno-v3.2 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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 |
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`"Helide" (say HE-lied) is an ion of helium -- famously a very unreactive element, which doesn't form ions in most conditions.` |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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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. |
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Since R1: Changed to task-arithmetic. Snazzy new model card image. |
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Since R2: Fixed unnecessary conversion. |
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Since R3: Tweaked ratios, Rosier's influence cut in half. |
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Since R4: Scrubbin' it down. +0.08 to Rosier (pre-normalization). Closing in on a good ratio. |
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### Merge Method |
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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. |
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### Models Merged |
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The following models were included in the merge: |
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* [Fizzarolli/L3-8b-Rosier-v1](https://huggingface.co/Fizzarolli/L3-8b-Rosier-v1) |
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* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: Sao10K/L3-8B-Stheno-v3.2 |
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parameters: |
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weight: 0.5 |
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- model: Fizzarolli/L3-8b-Rosier-v1 |
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parameters: |
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weight: 0.33 |
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merge_method: task_arithmetic |
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base_model: NousResearch/Meta-Llama-3-8B |
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parameters: |
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normalize: true |
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dtype: bfloat16 |
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``` |
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