63 lines
2.0 KiB
Markdown
63 lines
2.0 KiB
Markdown
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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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`"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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GGUFs available from [mradermacher](https://huggingface.co/mradermacher/helide-alpha-r5-GGUF) (appreciate it!!)
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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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