Upload merged model: MergedAI-7B-DARE-0

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- dare_ties
+- "7B"
+- "eren23/OGNO-7b-dpo-truthful"
+- "Kquant03/NeuralTrix-7B-dpo-laser"
+---
+
+# MergedAI-7B-DARE-0
+
+A merged model using Dynamic Adaptive Region Ensemble (DARE) with TIES sign election step using [mergekit](https://github.com/cg123/mergekit).
+
+## Model Details
+- **Base Models**:
+  * [eren23/OGNO-7b-dpo-truthful](https://huggingface.co/eren23/OGNO-7b-dpo-truthful)
+  * [Kquant03/NeuralTrix-7B-dpo-laser](https://huggingface.co/Kquant03/NeuralTrix-7B-dpo-laser)
+- **Merge Method**: dare_ties
+
+## Configuration
+```yaml
+models:
+  - model: eren23/OGNO-7b-dpo-truthful
+  - model: Kquant03/NeuralTrix-7B-dpo-laser
+    parameters:
+      density: 0.53
+      weight: 0.95
+merge_method: dare_ties
+base_model: eren23/OGNO-7b-dpo-truthful
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+## Usage
+This model can be used with the standard transformers library:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Ro-xe/MergedAI-7B-DARE-0")
+tokenizer = AutoTokenizer.from_pretrained("Ro-xe/MergedAI-7B-DARE-0")
+```

config.json

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+{
+  "_name_or_path": "eren23/OGNO-7b-dpo-truthful",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: eren23/OGNO-7b-dpo-truthful
+  - model: Kquant03/NeuralTrix-7B-dpo-laser
+    parameters:
+      density: 0.53
+      weight: 0.95
+merge_method: dare_ties
+base_model: eren23/OGNO-7b-dpo-truthful
+parameters:
+  int8_mask: true
+dtype: bfloat16

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