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README.md

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+---
+base_model:
+- microsoft/Phi-3.5-mini-instruct
+- microsoft/Phi-3-mini-4k-instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# output-model
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the breadcrumbs merge method using [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: microsoft/Phi-3.5-mini-instruct
+        layer_range: [0, 32]
+      - model: microsoft/Phi-3-mini-4k-instruct
+        layer_range: [0, 32]  # Limité aux 36 premières couches
+merge_method: breadcrumbs
+base_model: microsoft/Phi-3-mini-4k-instruct
+parameters:
+  weight: 0.5  # Remplacer 'relative' par une valeur numérique
+  normalize: true
+  density: 0.9
+  gamma: 0.01
+  #t:
+  #  - filter: self_attn
+  #    value: [0.1, 0.25, 0.5, 0.75, 1]  # Ajustement des poids pour self_attn
+  #  - filter: mlp
+  #    value: [1, 0.75, 0.5, 0.25, 0.1]  # Ajustement des poids pour mlp
+  #  - value: 0.5  # Valeur par défaut pour les autres couches
+
+dtype: bfloat16
+tokenizer_source: base
+
+```

added_tokens.json

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+{
+  "<|assistant|>": 32001,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|placeholder1|>": 32002,
+  "<|placeholder2|>": 32003,
+  "<|placeholder3|>": 32004,
+  "<|placeholder4|>": 32005,
+  "<|placeholder5|>": 32008,
+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

config.json

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+{
+  "_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3-mini-4k-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3-mini-4k-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 4096,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": 2047,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 32011
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: microsoft/Phi-3.5-mini-instruct
+        layer_range: [0, 32]
+      - model: microsoft/Phi-3-mini-4k-instruct
+        layer_range: [0, 32]  # Limité aux 36 premières couches
+merge_method: breadcrumbs
+base_model: microsoft/Phi-3-mini-4k-instruct
+parameters:
+  weight: 0.5  # Remplacer 'relative' par une valeur numérique
+  normalize: true
+  density: 0.9
+  gamma: 0.01
+  #t:
+  #  - filter: self_attn
+  #    value: [0.1, 0.25, 0.5, 0.75, 1]  # Ajustement des poids pour self_attn
+  #  - filter: mlp
+  #    value: [1, 0.75, 0.5, 0.25, 0.1]  # Ajustement des poids pour mlp
+  #  - value: 0.5  # Valeur par défaut pour les autres couches
+
+dtype: bfloat16
+tokenizer_source: base

model-00001-of-00002.safetensors

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model.safetensors.index.json

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special_tokens_map.json

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+}

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+size 499723

tokenizer_config.json

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