LsTam/test_Qwen_fr_14b

Model Card: LsTam/test_Qwen_fr_14b

Model Overview

• Base Model: Qwen2.5-14B-Instruct
• Target Language: French
• Use Case: Natural Language Processing tasks including text generation, translation, comprehension, and instruction-following in French.

Intended Use

• Primary Application: Testing and evaluating the performance of the Qwen2.5-14B-Instruct model on various NLP tasks in the French language.

Model Details

• Architecture: Transformer-based large language model.
• Parameters: 14 billion parameters.
• FT Data: Derived from a diverse set of French corpora:
  • French created MCQ, ture false, fill in the blank exercice
  • French instruction dataset such as 'angeluriot/french_instruct'
  • other french corpora and internal data

Limitations

• Bias: Bias analysis is coming.