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README.md

@@ -3,41 +3,37 @@ tags:
 - merge
 - mergekit
 - lazymergekit
-- mlabonne/NeuralBeagle14-7B
-- sethuiyer/Dr_Samantha-7b
+- Severus27/BeingWell_llama2_7b
+- ParthasarathyShanmugam/llama-2-7b-samantha
 base_model:
-- mlabonne/NeuralBeagle14-7B
-- sethuiyer/Dr_Samantha-7b
+- Severus27/BeingWell_llama2_7b
+- ParthasarathyShanmugam/llama-2-7b-samantha
 ---
 
 # Dr-Samantha-Philosopher-7B-slerp
 
 Dr-Samantha-Philosopher-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
-* [sethuiyer/Dr_Samantha-7b](https://huggingface.co/sethuiyer/Dr_Samantha-7b)
+* [Severus27/BeingWell_llama2_7b](https://huggingface.co/Severus27/BeingWell_llama2_7b)
+* [ParthasarathyShanmugam/llama-2-7b-samantha](https://huggingface.co/ParthasarathyShanmugam/llama-2-7b-samantha)
 
 ## 🧩 Configuration
 
 ```yaml
-slices:
-  - sources:
-      - model: mlabonne/NeuralBeagle14-7B
-        layer_range: [0, 32]
-      - model: sethuiyer/Dr_Samantha-7b
-        layer_range: [0, 32]
-
-merge_method: slerp
-base_model: sethuiyer/Dr_Samantha-7b
-
+models:
+  - model: togethercomputer/Llama-2-7B-32K-Instruct
+    # No parameters necessary for base model
+  - model: Severus27/BeingWell_llama2_7b
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: ParthasarathyShanmugam/llama-2-7b-samantha
+    parameters:
+      density: 0.53
+      weight: 0.4
+merge_method: dare_ties
+base_model: togethercomputer/Llama-2-7B-32K-Instruct
 parameters:
-  t:
-    - filter: self_attn
-      value: [0, 0.5, 0.3, 0.7, 1]
-    - filter: mlp
-      value: [1, 0.5, 0.7, 0.3, 0]
-    - value: 0.5 # fallback for rest of tensors
-tokenizer_source: union
-
+  int8_mask: true
 dtype: float16
 ```
 

added_tokens.json

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+}

config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "togethercomputer/Llama-2-7B-32K-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "auto_map": {
+    "AutoModelForCausalLM": "togethercomputer/LLaMA-2-7B-32K--modeling_flash_llama.LlamaForCausalLM"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "type": "linear"
+  },
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,17 @@
+
+models:
+  - model: togethercomputer/Llama-2-7B-32K-Instruct
+    # No parameters necessary for base model
+  - model: Severus27/BeingWell_llama2_7b
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: ParthasarathyShanmugam/llama-2-7b-samantha
+    parameters:
+      density: 0.53
+      weight: 0.4
+merge_method: dare_ties
+base_model: togethercomputer/Llama-2-7B-32K-Instruct
+parameters:
+  int8_mask: true
+dtype: float16

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