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README.md
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---
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base_model:
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- bond005/meno-tiny-0.1
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- Qwen/Qwen2.5-1.5B-Instruct
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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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```
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---
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base_model:
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- bond005/meno-tiny-0.1
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- Qwen/Qwen2.5-1.5B-Instruct
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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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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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---
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# **SpaceYL/ECE_Poirot**
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First model merged on the ECE intelligence Lab proprietary GPUs
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This model has been produced by:
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- **LALAIN Youri**, engineering student at French Engineering School ECE
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- **RAGE LILIAN**, engineering student at French Engineering School ECE
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Under the supervision of:
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- **Andre-Louis Rochet**, Lecturer at ECE, Co-founder at TW3 Partners
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- **Paul Lemaistre**, Lecturer at ECE, CTO at TW3 Partners
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- **Mohammed Mounir**, Solution Architect at Exaion
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- **Hervé Chibois**, Infrastructure Expert at Exaion
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- **Des Bontés Sonafouo**, Chef de projet IT at Omnes
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With the contribution of:
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- **ECE engineering school** as sponsor and financial contributor
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- **François STEPHAN** as director of ECE
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- **Gérard REUS** as acting director of iLAB
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### Supervisory structure
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The iLab (intelligence Lab) is a structure created by the ECE and dedicated to artificial intelligence
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### About ECE
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ECE, a multi-program, multi-campus, and multi-sector engineering school specializing in digital engineering, trains engineers and technology experts for the 21st century, capable of meeting the challenges of the dual digital and sustainable development revolutions.
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### Models Merged
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The following models were included in the merge:
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* [bond005/meno-tiny-0.1](https://huggingface.co/bond005/meno-tiny-0.1)
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* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-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: bond005/meno-tiny-0.1
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layer_range: [0, 28]
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- model: Qwen/Qwen2.5-1.5B-Instruct
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layer_range: [0, 28]
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merge_method: slerp
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.25, 0.5, 0.75, 1]
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- filter: mlp
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value: [1, 0.75, 0.5, 0.25, 0]
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- value: 0.5
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dtype: bfloat16
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```
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