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README.md

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+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# bc_5_checkpoints_mediphi3_5
+
+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_ties merge method using ./Phi-3.5-mini-instruct/ as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* ./guideline_mediphi3_5/
+* ./clinical_mediphi3_5/
+* ./medcode_mediphi3_5/
+* ./pmc_mediphi3_5/
+* ./medwiki_mediphi3_5/
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: ./Phi-3.5-mini-instruct/
+dtype: bfloat16
+merge_method: breadcrumbs_ties
+parameters:
+  int8_mask: 1.0
+  normalize: 0.0
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: ./pmc_mediphi3_5/
+    parameters:
+      density: 0.493602636300503
+      gamma: 1.6720241134317
+      weight: 0.06352674368303199
+  - layer_range: [0, 32]
+    model: ./clinical_mediphi3_5/
+    parameters:
+      density: 0.13945100550914405
+      gamma: 0.6330106659403112
+      weight: 0.5538401962393489
+  - layer_range: [0, 32]
+    model: ./medcode_mediphi3_5/
+    parameters:
+      density: 0.9265424817500185
+      gamma: 1.9263067682230453
+      weight: 0.2591472607914765
+  - layer_range: [0, 32]
+    model: ./medwiki_mediphi3_5/
+    parameters:
+      density: 0.22471877839197088
+      gamma: 0.8906459105787018
+      weight: 0.017904019341096117
+  - layer_range: [0, 32]
+    model: ./guideline_mediphi3_5/
+    parameters:
+      density: 0.766362712622725
+      gamma: 0.2721241668046967
+      weight: 1.604598536238056
+  - layer_range: [0, 32]
+    model: ./Phi-3.5-mini-instruct/
+```

config.json

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+{
+  "_name_or_path": "./Phi-3.5-mini-instruct/",
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "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": 131072,
+  "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,
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}

mergekit_config.yml

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+base_model: ./Phi-3.5-mini-instruct/
+dtype: bfloat16
+merge_method: breadcrumbs_ties
+parameters:
+  int8_mask: 1.0
+  normalize: 0.0
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: ./pmc_mediphi3_5/
+    parameters:
+      density: 0.493602636300503
+      gamma: 1.6720241134317
+      weight: 0.06352674368303199
+  - layer_range: [0, 32]
+    model: ./clinical_mediphi3_5/
+    parameters:
+      density: 0.13945100550914405
+      gamma: 0.6330106659403112
+      weight: 0.5538401962393489
+  - layer_range: [0, 32]
+    model: ./medcode_mediphi3_5/
+    parameters:
+      density: 0.9265424817500185
+      gamma: 1.9263067682230453
+      weight: 0.2591472607914765
+  - layer_range: [0, 32]
+    model: ./medwiki_mediphi3_5/
+    parameters:
+      density: 0.22471877839197088
+      gamma: 0.8906459105787018
+      weight: 0.017904019341096117
+  - layer_range: [0, 32]
+    model: ./guideline_mediphi3_5/
+    parameters:
+      density: 0.766362712622725
+      gamma: 0.2721241668046967
+      weight: 1.604598536238056
+  - layer_range: [0, 32]
+    model: ./Phi-3.5-mini-instruct/

model-00001-of-00002.safetensors

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model.safetensors.index.json

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