61 lines
2.4 KiB
Markdown
61 lines
2.4 KiB
Markdown
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---
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base_model:
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- Qwen/Qwen3-8B
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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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license: apache-2.0
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---
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using C:\Users\Onlyth3ninja\Desktop\model merge\r2lm_local\cores\BaseMathCore_attempt5 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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* C:\Users\Onlyth3ninja\Desktop\model merge\r2lm_local\cores\DualCoreFallback_attempt0
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* C:\Users\Onlyth3ninja\Desktop\model merge\r2lm_local\cores\ReasonCore_attempt0
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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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# Auto-generated merge config for OptRecursive attempt 12
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# Intended output: C:/Users/Onlyth3ninja/Desktop/model merge/r2lm_local/cores/OptRecursive_attempt12
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merge_method: ties
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base_model: "C:\\Users\\Onlyth3ninja\\Desktop\\model merge\\r2lm_local\\cores\\BaseMathCore_attempt5"
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tokenizer_source: "C:\\Users\\Onlyth3ninja\\Desktop\\model merge\\r2lm_local\\cores\\BaseMathCore_attempt5"
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dtype: bfloat16
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models:
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- model: "C:\\Users\\Onlyth3ninja\\Desktop\\model merge\\r2lm_local\\cores\\BaseMathCore_attempt5"
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parameters:
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density: 1.0
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weight:
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- filter: lm_head
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value: 0.6
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- value: [0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6]
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- model: "C:\\Users\\Onlyth3ninja\\Desktop\\model merge\\r2lm_local\\cores\\DualCoreFallback_attempt0"
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parameters:
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density: 1.0
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weight:
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- filter: lm_head
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value: 0.25
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- value: [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25]
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- model: "C:\\Users\\Onlyth3ninja\\Desktop\\model merge\\r2lm_local\\cores\\ReasonCore_attempt0"
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parameters:
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density: 1.0
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weight:
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- filter: lm_head
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value: 0.15
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- value: [0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15]
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parameters:
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normalize: true
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int8_mask: true
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```
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