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README.md

@@ -1,3 +1,18 @@
 ---
-license: apache-2.0
+license: llama2
 ---
+Experiment for DARE(Drop and REscale), most of the delta parameters can be directly set to zeros without affecting the capabilities of SFT LMs and larger models can tolerate a higher proportion of discarded parameters.
+
+Merged with below DARE models.
+
+weight_mask_rate: 0.85 / use_weight_rescale: True / mask_stratery: random / scaling_coefficient: 1.0
+
+| Model                                                        | Average | ARC    | HellaSwag | MMLU   | TruthfulQA | Winogrande | GSM8K  | DROP   |
+| ------                                                       | ------  | ------ | ------    | ------ | ------     | ------     | ------ | ------ |
+| Intel/neural-chat-7b-v3-1                                    | 59.06   | 66.21  | 83.64     | 62.37  | 59.65      | 78.14      | 19.56  | 43.84  |
+| migtissera/SynthIA-7B-v1.3                                   | 57.11   | 62.12  | 83.45     | 62.65  | 51.37      | 78.85      | 17.59  | 43.76  |
+| bhenrym14/mistral-7b-platypus-fp16                           | 56.89   | 63.05  | 84.15     | 64.11  | 45.07      | 78.53      | 17.36  | 45.92  |
+| jondurbin/airoboros-m-7b-3.1.2                               | 56.24   | 61.86  | 83.51     | 61.91  | 53.75      | 77.58      | 13.87  | 41.2   |
+| teknium/CollectiveCognition-v1.1-Mistral-7B                  | 53.87   | 62.12  | 84.17     | 62.35  | 57.62      | 75.37      | 15.62  | 19.85  |
+| uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b | 53.34   | 64.33  | 84.4      | 63.72  | 52.52      | 78.37      | 21.38  | 8.66   |
+

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config.json

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+  "architectures": [
+    "MistralForCausalLM"
+  ],
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+  "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": "4.34.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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