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README.md CHANGED
@@ -1 +1,84 @@
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- Base model를 KoLlama3로 수행하여 solar-instruct모델과 병합하였습니다
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model:
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+ - beomi/Llama-3-Open-Ko-8B
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+ - Upstage/SOLAR-10.7B-Instruct-v1.0
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # new-merged-model
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [beomi/Llama-3-Open-Ko-8B](https://huggingface.co/beomi/Llama-3-Open-Ko-8B)
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+ * [Upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/Upstage/SOLAR-10.7B-Instruct-v1.0)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ # slices:
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+ # - sources:
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+ # - model: beomi/Llama-3-Open-Ko-8B
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+ # layer_range: [0, 32]
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+ # - model: upstage/SOLAR-10.7B-Instruct-v1.0
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+ # layer_range: [0, 32]
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+ # merge_method: slerp
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+ # base_model: upstage/SOLAR-10.7B-Instruct-v1.0
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+ # parameters:
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+ # t:
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+ # - filter: self_attn
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+ # value: [0, 0.5, 0.3, 0.7, 1]
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+ # - filter: mlp
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+ # value: [1, 0.5, 0.7, 0.3, 0]
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+ # - value: 0.5 # fallback for rest of tensors
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+ # dtype: float16
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+ # name: upstage-slerp
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+
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+ # models:
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+ # - model: upstage-slerp
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+ # parameters:
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+ # density: [1, 0.7, 0.1] # density gradient
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+ # weight: 1.0
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+ # - model: chihoonlee10/T3Q-ko-solar-dpo-v6.0
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+ # parameters:
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+ # density: 0.33
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+ # weight:
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+ # - filter: mlp
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+ # value: 0.5
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+ # - value: 0
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+ # merge_method: ties
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+ # base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ # parameters:
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+ # normalize: true
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+ # int8_mask: true
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+ # dtype: float16
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+ # name: llama3-slerp-ties
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+ slices:
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+ - sources:
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+ - model: beomi/Llama-3-Open-Ko-8B
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+ layer_range: [0, 32]
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+ - model: Upstage/SOLAR-10.7B-Instruct-v1.0
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: beomi/Llama-3-Open-Ko-8B
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: float16
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+ ```
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
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  "architectures": [
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  "LlamaForCausalLM"
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  ],
@@ -21,7 +21,7 @@
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  "rope_scaling": null,
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  "rope_theta": 500000.0,
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  "tie_word_embeddings": false,
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- "torch_dtype": "bfloat16",
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  "transformers_version": "4.40.1",
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  "use_cache": true,
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  "vocab_size": 128256
 
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  {
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+ "_name_or_path": "beomi/Llama-3-Open-Ko-8B",
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  "architectures": [
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  "LlamaForCausalLM"
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  ],
 
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  "rope_scaling": null,
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  "rope_theta": 500000.0,
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  "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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  "transformers_version": "4.40.1",
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  "use_cache": true,
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  "vocab_size": 128256
mergekit_config.yml CHANGED
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  # slices:
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  # - sources:
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- # - model: meta-llama/Meta-Llama-3-8B-Instruct
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  # layer_range: [0, 32]
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  # - model: upstage/SOLAR-10.7B-Instruct-v1.0
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  # layer_range: [0, 32]
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- # - model: beomi/Llama-3-Open-Ko-8B
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- # layer_range: [0, 32]
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  # merge_method: slerp
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- # base_model: meta-llama/Meta-Llama-3-8B-Instruct
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  # parameters:
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  # t:
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  # - filter: self_attn
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- # value: [0.4, 0.3, 0.3] # Adjust these values based on desired influence
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  # - filter: mlp
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- # value: [0.3, 0.35, 0.35] # Adjust these values based on desired influence
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- # - value: 0.33 # Fallback for rest of tensors
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # dtype: float16
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- # name: integrated-model
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- slices:
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- - sources:
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- - model: beomi/Llama-3-Open-Ko-8B
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- layer_range: [0, 32]
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- - model: meta-llama/Meta-Llama-3-8B-Instruct
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- layer_range: [0, 32]
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- merge_method: slerp
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- base_model: meta-llama/Meta-Llama-3-8B-Instruct
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- parameters:
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- t:
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- - filter: self_attn
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- value: [0, 0.5, 0.3, 0.7, 1]
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- - filter: mlp
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- value: [1, 0.5, 0.7, 0.3, 0]
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- - value: 0.5
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- dtype: bfloat16
 
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  # slices:
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  # - sources:
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+ # - model: beomi/Llama-3-Open-Ko-8B
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  # layer_range: [0, 32]
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  # - model: upstage/SOLAR-10.7B-Instruct-v1.0
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  # layer_range: [0, 32]
 
 
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  # merge_method: slerp
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+ # base_model: upstage/SOLAR-10.7B-Instruct-v1.0
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  # parameters:
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  # t:
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  # - filter: self_attn
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+ # value: [0, 0.5, 0.3, 0.7, 1]
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  # - filter: mlp
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+ # value: [1, 0.5, 0.7, 0.3, 0]
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+ # - value: 0.5 # fallback for rest of tensors
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+ # dtype: float16
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+ # name: upstage-slerp
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+
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+ # models:
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+ # - model: upstage-slerp
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+ # parameters:
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+ # density: [1, 0.7, 0.1] # density gradient
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+ # weight: 1.0
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+ # - model: chihoonlee10/T3Q-ko-solar-dpo-v6.0
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+ # parameters:
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+ # density: 0.33
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+ # weight:
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+ # - filter: mlp
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+ # value: 0.5
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+ # - value: 0
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+ # merge_method: ties
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+ # base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ # parameters:
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+ # normalize: true
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+ # int8_mask: true
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  # dtype: float16
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+ # name: llama3-slerp-ties
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+ slices:
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+ - sources:
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+ - model: beomi/Llama-3-Open-Ko-8B
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+ layer_range: [0, 32]
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+ - model: Upstage/SOLAR-10.7B-Instruct-v1.0
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: beomi/Llama-3-Open-Ko-8B
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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