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README.md

@@ -1 +1,84 @@
-Base model를 KoLlama3로 수행하여 solar-instruct모델과 병합하였습니다
+---
+base_model:
+- beomi/Llama-3-Open-Ko-8B
+- Upstage/SOLAR-10.7B-Instruct-v1.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# new-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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [beomi/Llama-3-Open-Ko-8B](https://huggingface.co/beomi/Llama-3-Open-Ko-8B)
+* [Upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/Upstage/SOLAR-10.7B-Instruct-v1.0)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+# slices:
+#   - sources:
+#       - model: beomi/Llama-3-Open-Ko-8B
+#         layer_range: [0, 32]
+#       - model: upstage/SOLAR-10.7B-Instruct-v1.0
+#         layer_range: [0, 32]
+# merge_method: slerp
+# base_model: upstage/SOLAR-10.7B-Instruct-v1.0
+# 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
+# dtype: float16
+# name: upstage-slerp
+
+# models:
+#   - model: upstage-slerp
+#     parameters:
+#       density: [1, 0.7, 0.1] # density gradient
+#       weight: 1.0
+#   - model: chihoonlee10/T3Q-ko-solar-dpo-v6.0
+#     parameters:
+#       density: 0.33
+#       weight:
+#         - filter: mlp
+#           value: 0.5
+#         - value: 0
+# merge_method: ties
+# base_model: meta-llama/Meta-Llama-3-8B-Instruct
+# parameters:
+#   normalize: true
+#   int8_mask: true
+# dtype: float16
+# name: llama3-slerp-ties
+slices:
+  - sources:
+      - model: beomi/Llama-3-Open-Ko-8B
+        layer_range: [0, 32]
+      - model: Upstage/SOLAR-10.7B-Instruct-v1.0
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: beomi/Llama-3-Open-Ko-8B
+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: float16
+```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "_name_or_path": "beomi/Llama-3-Open-Ko-8B",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -21,7 +21,7 @@
   "rope_scaling": null,
   "rope_theta": 500000.0,
   "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
+  "torch_dtype": "float16",
   "transformers_version": "4.40.1",
   "use_cache": true,
   "vocab_size": 128256

mergekit_config.yml

@@ -1,35 +1,53 @@
 # slices:
 #   - sources:
-#       - model: meta-llama/Meta-Llama-3-8B-Instruct
+#       - model: beomi/Llama-3-Open-Ko-8B
 #         layer_range: [0, 32]
 #       - model: upstage/SOLAR-10.7B-Instruct-v1.0
 #         layer_range: [0, 32]
-#       - model: beomi/Llama-3-Open-Ko-8B
-#         layer_range: [0, 32]
 # merge_method: slerp
-# base_model: meta-llama/Meta-Llama-3-8B-Instruct
+# base_model: upstage/SOLAR-10.7B-Instruct-v1.0
 # parameters:
 #   t:
 #     - filter: self_attn
-#       value: [0.4, 0.3, 0.3] # Adjust these values based on desired influence
+#       value: [0, 0.5, 0.3, 0.7, 1]
 #     - filter: mlp
-#       value: [0.3, 0.35, 0.35] # Adjust these values based on desired influence
-#     - value: 0.33 # Fallback for rest of tensors
+#       value: [1, 0.5, 0.7, 0.3, 0]
+#     - value: 0.5 # fallback for rest of tensors
+# dtype: float16
+# name: upstage-slerp
+
+# models:
+#   - model: upstage-slerp
+#     parameters:
+#       density: [1, 0.7, 0.1] # density gradient
+#       weight: 1.0
+#   - model: chihoonlee10/T3Q-ko-solar-dpo-v6.0
+#     parameters:
+#       density: 0.33
+#       weight:
+#         - filter: mlp
+#           value: 0.5
+#         - value: 0
+# merge_method: ties
+# base_model: meta-llama/Meta-Llama-3-8B-Instruct
+# parameters:
+#   normalize: true
+#   int8_mask: true
 # dtype: float16
-# name: integrated-model
- slices:
-   - sources:
-       - model: beomi/Llama-3-Open-Ko-8B
-         layer_range: [0, 32]
-       - model: meta-llama/Meta-Llama-3-8B-Instruct
-         layer_range: [0, 32]
- merge_method: slerp
- base_model: meta-llama/Meta-Llama-3-8B-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
- dtype: bfloat16
+# name: llama3-slerp-ties
+slices:
+  - sources:
+      - model: beomi/Llama-3-Open-Ko-8B
+        layer_range: [0, 32]
+      - model: Upstage/SOLAR-10.7B-Instruct-v1.0
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: beomi/Llama-3-Open-Ko-8B
+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: float16

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