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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,64 @@
+---
+base_model:
+- princeton-nlp/gemma-2-9b-it-SimPO
+- google/gemma-2-9b-it
+- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
+- wzhouad/gemma-2-9b-it-WPO-HB
+- google/gemma-2-9b
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merged_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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
+* [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it)
+* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
+* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+models:
+  - model: google/gemma-2-9b
+  - model: google/gemma-2-9b-it
+    parameters:
+      density: 1.0
+      weight: 0.6
+  - model: wzhouad/gemma-2-9b-it-WPO-HB
+    parameters:
+      density: 0.55
+      weight: 0.6
+  - model: princeton-nlp/gemma-2-9b-it-SimPO 
+    parameters:
+      density: 0.35
+      weight: 0.6
+  - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
+    parameters:
+      density: 0.25
+      weight: 0.4
+merge_method: della
+base_model: google/gemma-2-9b
+parameters:
+  normalize: true
+  int8_mask: true
+  lambda: 1.0
+  epsilon: 0.1
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "google/gemma-2-9b",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 256000
+}

mergekit_config.yml

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+
+models:
+  - model: google/gemma-2-9b
+  - model: google/gemma-2-9b-it
+    parameters:
+      density: 1.0
+      weight: 0.6
+  - model: wzhouad/gemma-2-9b-it-WPO-HB
+    parameters:
+      density: 0.55
+      weight: 0.6
+  - model: princeton-nlp/gemma-2-9b-it-SimPO 
+    parameters:
+      density: 0.35
+      weight: 0.6
+  - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
+    parameters:
+      density: 0.25
+      weight: 0.4
+merge_method: della
+base_model: google/gemma-2-9b
+parameters:
+  normalize: true
+  int8_mask: true
+  lambda: 1.0
+  epsilon: 0.1
+dtype: float16

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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}