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README.md

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+---
+base_model:
+- mllm-dev/gpt2_f_experiment_0_drug_data_new_run
+- mllm-dev/gpt2_f_experiment_2_drug_data_new_run
+- mllm-dev/gpt2_f_experiment_4_drug_data_new_run
+- mllm-dev/gpt2_f_experiment_3_drug_data_new_run
+- mllm-dev/gpt2_f_experiment_1_drug_data_new_run
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# tam_test_merge_out_drug_data_ties_test_new_run
+
+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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/gpt2_f_experiment_0_drug_data_new_run](https://huggingface.co/mllm-dev/gpt2_f_experiment_0_drug_data_new_run) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [mllm-dev/gpt2_f_experiment_2_drug_data_new_run](https://huggingface.co/mllm-dev/gpt2_f_experiment_2_drug_data_new_run)
+* [mllm-dev/gpt2_f_experiment_4_drug_data_new_run](https://huggingface.co/mllm-dev/gpt2_f_experiment_4_drug_data_new_run)
+* [mllm-dev/gpt2_f_experiment_3_drug_data_new_run](https://huggingface.co/mllm-dev/gpt2_f_experiment_3_drug_data_new_run)
+* [mllm-dev/gpt2_f_experiment_1_drug_data_new_run](https://huggingface.co/mllm-dev/gpt2_f_experiment_1_drug_data_new_run)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: mllm-dev/gpt2_f_experiment_0_drug_data_new_run
+dtype: float16
+merge_method: ties
+parameters:
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_0_drug_data_new_run
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_1_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_2_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_3_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_4_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2
+```

config.json

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+{
+  "_name_or_path": "mllm-dev/gpt2_f_experiment_0_drug_data_new_run",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2ForSequenceClassification"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "pad_token_id": 50256,
+  "problem_type": "single_label_classification",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float16",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": true,
+  "vocab_size": 50257
+}

mergekit_config.yml

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+base_model: mllm-dev/gpt2_f_experiment_0_drug_data_new_run
+dtype: float16
+merge_method: ties
+parameters:
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_0_drug_data_new_run
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_1_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_2_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_3_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2
+  - layer_range: [0, 12]
+    model: mllm-dev/gpt2_f_experiment_4_drug_data_new_run
+    parameters:
+      density: 0.9
+      weight: 0.2

model-00001-of-00001.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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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "max_length": 1024,
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "stride": 0,
+  "tokenizer_class": "GPT2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<|endoftext|>"
+}