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README.md

@@ -4,14 +4,14 @@ tags:
 - merge
 - mergekit
 - lazymergekit
-- cognitivecomputations/dolphin-2.6-mistral-7b
+- mistralai/Mistral-7B-v0.1
 - Open-Orca/Mistral-7B-OpenOrca
 ---
 
 # doltral-7B-slerp
 
 doltral-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [cognitivecomputations/dolphin-2.6-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b)
+* [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
 * [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
 
 ## 🧩 Configuration
@@ -19,7 +19,7 @@ doltral-7B-slerp is a merge of the following models using [LazyMergekit](https:/
 ```yaml
 slices:
   - sources:
-      - model: cognitivecomputations/dolphin-2.6-mistral-7b
+      - model: mistralai/Mistral-7B-v0.1
         layer_range: [0, 32]
       - model: Open-Orca/Mistral-7B-OpenOrca
         layer_range: [0, 32]

config.json

@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "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": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,17 @@
+
+slices:
+  - sources:
+      - model: mistralai/Mistral-7B-v0.1
+        layer_range: [0, 32]
+      - model: Open-Orca/Mistral-7B-OpenOrca
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mistralai/Mistral-7B-v0.1
+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
+dtype: bfloat16

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