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README.md
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---
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base_model: []
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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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<h2>L3-Stheno-v3.2-12.2B-Instruct - Float32</h2>
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###
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---
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base_model: []
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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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<h2>L3-Stheno-v3.2-12.2B-Instruct - Float32</h2>
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For full model card, and GGUFs, please go to:
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[ https://huggingface.co/DavidAU/L3-Stheno-v3.2-12.2B-INSTRUCT-ULTRA-F32-GGUF ]
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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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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* G:/7B/L3-8B-Stheno-v3.2
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* G:/7B/Meta-Llama-3-8B-Instruct
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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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slices:
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- sources:
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- model: G:/7B/Meta-Llama-3-8B-Instruct
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layer_range: [0, 12]
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- sources:
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- model: G:/7B/L3-8B-Stheno-v3.2
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layer_range: [6, 19]
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parameters:
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scale:
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- filter: o_proj
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value: 1
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- filter: down_proj
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value: 1
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- value: 1
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- sources:
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- model: G:/7B/Meta-Llama-3-8B-Instruct
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layer_range: [12, 18]
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parameters:
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scale:
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- filter: o_proj
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value: .5
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- filter: down_proj
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value: .5
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- value: 1
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- sources:
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- model: G:/7B/Meta-Llama-3-8B-Instruct
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layer_range: [18, 25]
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parameters:
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scale:
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- filter: o_proj
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value: .75
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- filter: down_proj
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value: .75
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- value: 1
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- sources:
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- model: G:/7B/L3-8B-Stheno-v3.2
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layer_range: [19, 32]
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parameters:
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scale:
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- filter: o_proj
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value: 1
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- filter: down_proj
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value: 1
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- value: 1
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merge_method: passthrough
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dtype: float32
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```
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