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Update README.md & mergekit_config.yml

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  1. README.md +14 -3
  2. mergekit_config.yml +37 -9
README.md CHANGED
@@ -1,6 +1,11 @@
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  ---
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  base_model:
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  - Undi95/Meta-Llama-3-8B-Instruct-hf
 
 
 
 
 
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  library_name: transformers
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  tags:
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  - mergekit
@@ -33,8 +38,12 @@ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](
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  ### Models Merged
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  The following models were included in the merge:
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- * llama-3-8B-ultra-instruct/InstructPart
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- * llama-3-8B-ultra-instruct/RPPart
 
 
 
 
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  ### Configuration
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@@ -56,6 +65,7 @@ dtype: bfloat16
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  base_model: Undi95/Meta-Llama-3-8B-hf
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  name: RPPart
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  ---
 
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  models:
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  - model: Weyaxi/Einstein-v6.1-Llama3-8B
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  parameters:
@@ -71,6 +81,7 @@ base_model: Undi95/Meta-Llama-3-8B-hf
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  dtype: bfloat16
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  name: InstructPart
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  ---
 
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  models:
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  - model: RPPart
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  parameters:
@@ -106,4 +117,4 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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  |MMLU (5-Shot) |68.32|
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  |TruthfulQA (0-shot) |52.80|
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  |Winogrande (5-shot) |76.95|
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- |GSM8k (5-shot) |70.36|
 
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  ---
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  base_model:
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  - Undi95/Meta-Llama-3-8B-Instruct-hf
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+ - Undi95/Llama-3-LewdPlay-8B-evo
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+ - jondurbin/bagel-8b-v1.0
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+ - Weyaxi/Einstein-v6.1-Llama3-8B
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+ - VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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+ - aaditya/OpenBioLLM-Llama3-8B
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  library_name: transformers
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  tags:
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  - mergekit
 
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  ### Models Merged
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  The following models were included in the merge:
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+ * Undi95/Meta-Llama-3-8B-Instruct-hf
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+ * Undi95/Llama-3-LewdPlay-8B-evo
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+ * jondurbin/bagel-8b-v1.0
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+ * Weyaxi/Einstein-v6.1-Llama3-8B
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+ * VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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+ * aaditya/OpenBioLLM-Llama3-8B
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  ### Configuration
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  base_model: Undi95/Meta-Llama-3-8B-hf
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  name: RPPart
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  ---
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+
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  models:
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  - model: Weyaxi/Einstein-v6.1-Llama3-8B
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  parameters:
 
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  dtype: bfloat16
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  name: InstructPart
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  ---
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+
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  models:
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  - model: RPPart
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  parameters:
 
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  |MMLU (5-Shot) |68.32|
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  |TruthfulQA (0-shot) |52.80|
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  |Winogrande (5-shot) |76.95|
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+ |GSM8k (5-shot) |70.36|
mergekit_config.yml CHANGED
@@ -1,15 +1,43 @@
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- base_model: Undi95/Meta-Llama-3-8B-Instruct-hf
 
 
 
 
 
 
 
 
 
 
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  dtype: bfloat16
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  merge_method: dare_ties
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- slices:
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- - sources:
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- - layer_range: [0, 32]
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- model: llama-3-8B-ultra-instruct/RPPart
 
 
 
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  parameters:
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  weight: 0.39
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- - layer_range: [0, 32]
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- model: llama-3-8B-ultra-instruct/InstructPart
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  parameters:
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  weight: 0.26
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- - layer_range: [0, 32]
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- model: Undi95/Meta-Llama-3-8B-Instruct-hf
 
 
 
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+ models:
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+ - model: ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B
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+ parameters:
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+ weight: 0.4
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+ - model: Undi95/Llama-3-LewdPlay-8B-evo
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+ parameters:
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+ weight: 0.5
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+ - model: jondurbin/bagel-8b-v1.0
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+ parameters:
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+ weight: 0.1
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+ merge_method: dare_ties
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  dtype: bfloat16
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+ base_model: Undi95/Meta-Llama-3-8B-hf
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+ name: RPPart
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+ ---
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+
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+ models:
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+ - model: Weyaxi/Einstein-v6.1-Llama3-8B
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+ parameters:
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+ weight: 0.6
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+ - model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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+ parameters:
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+ weight: 0.3
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+ - model: aaditya/OpenBioLLM-Llama3-8B
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+ parameters:
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+ weight: 0.1
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  merge_method: dare_ties
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+ base_model: Undi95/Meta-Llama-3-8B-hf
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+ dtype: bfloat16
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+ name: InstructPart
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+ ---
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+
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+ models:
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+ - model: RPPart
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  parameters:
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  weight: 0.39
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+ - model: InstructPart
 
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  parameters:
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  weight: 0.26
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+ merge_method: dare_ties
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+ base_model: Undi95/Meta-Llama-3-8B-Instruct-hf
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+ dtype: bfloat16
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+ name: Llama-3-8B-Ultra-Instruct