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README.md ADDED
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+ ---
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+ base_model:
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+ - Youlln/ECE-Qwen0.5B-FT-V2
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+ - Qwen/Qwen2.5-0.5B-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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+
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+ ---
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+ # merge
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [Youlln/ECE-Qwen0.5B-FT-V2](https://huggingface.co/Youlln/ECE-Qwen0.5B-FT-V2)
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+ * [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: Youlln/ECE-Qwen0.5B-FT-V2
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+ layer_range: [0, 24]
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+ - model: Qwen/Qwen2.5-0.5B-Instruct
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+ layer_range: [0, 24]
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+ merge_method: slerp
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+ base_model: Youlln/ECE-Qwen0.5B-FT-V2
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+ parameters:
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+ t:
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+ - value: 0.7 # Ajuste pour prioriser ton modèle
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+ dtype: float16
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "Youlln/ECE-Qwen0.5B-FT-V2",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "hidden_size": 896,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4864,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 21,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 14,
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+ "num_hidden_layers": 24,
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+ "num_key_value_heads": 2,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": true,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.45.1",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
mergekit_config.yml ADDED
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+ slices:
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+ - sources:
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+ - model: Youlln/ECE-Qwen0.5B-FT-V2
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+ layer_range: [0, 24]
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+ - model: Qwen/Qwen2.5-0.5B-Instruct
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+ layer_range: [0, 24]
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+ merge_method: slerp
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+ base_model: Youlln/ECE-Qwen0.5B-FT-V2
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+ parameters:
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+ t:
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+ - value: 0.7 # Ajuste pour prioriser ton modèle
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+ dtype: float16
merges.txt ADDED
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