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Model: sequelbox/Qwen3-4B-PlumEsper Source: Original Platform
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README.md
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---
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base_model:
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- ValiantLabs/Qwen3-4B-ShiningValiant3
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- ValiantLabs/Qwen3-4B-Esper3
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- Qwen/Qwen3-4B
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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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- qwen
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- qwen-3
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- qwen-3-4b
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- 4b
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- reasoning
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- code
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- code-reasoning
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- code-instruct
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- python
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- javascript
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- dev-ops
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- jenkins
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- terraform
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- instruct
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datasets:
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- sequelbox/Celestia3-DeepSeek-R1-0528
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- sequelbox/Mitakihara-DeepSeek-R1-0528
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- sequelbox/Titanium2.1-DeepSeek-R1
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- sequelbox/Tachibana2-DeepSeek-R1
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- sequelbox/Raiden-DeepSeek-R1
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---
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# PlumEsper
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit), combining the specialty and general reasoning skills of Esper 3 4b and Shining Valiant 3 4b.
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## Merge Details
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### Merge Method
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This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) 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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* [ValiantLabs/Qwen3-4B-ShiningValiant3](https://huggingface.co/ValiantLabs/Qwen3-4B-ShiningValiant3)
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* [ValiantLabs/Qwen3-4B-Esper3](https://huggingface.co/ValiantLabs/Qwen3-4B-Esper3)
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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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merge_method: della
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dtype: bfloat16
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parameters:
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normalize: true
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models:
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- model: ValiantLabs/Qwen3-4B-Esper3
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parameters:
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density: 0.5
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weight: 0.3
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- model: ValiantLabs/Qwen3-4B-ShiningValiant3
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parameters:
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density: 0.5
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weight: 0.3
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base_model: Qwen/Qwen3-4B
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```
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version https://git-lfs.github.com/spec/v1
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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merges.txt
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size 11422654
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version https://git-lfs.github.com/spec/v1
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