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Create : Merged model uploaded

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config.json ADDED
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+ {
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+ "_name_or_path": "kyujinpy/Sakura-SOLAR-Instruct",
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+ "architectures": [
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+ "LlamaForCausalLM"
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mergekit_config.yml ADDED
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+ models:
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+ - model: kyujinpy/Sakura-SOLAR-Instruct
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+ parameters:
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+ density: 1.0
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+ weight: 1.0
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+ - model: kyujinpy/Sakura-SOLRCA-Math-Instruct-DPO-v2
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+ parameters:
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+ density: 0.5
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+ weight: [0.33, 0.4, 0.33]
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+ - model: kyujinpy/Sakura-SOLRCA-Instruct-DPO
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+ parameters:
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+ density: [0.33, 0.45, 0.66]
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+ weight: 0.66
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+ merge_method: dare_ties
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+ base_model: kyujinpy/Sakura-SOLAR-Instruct
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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+ tokenizer_source : union
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+
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+ #slices:
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+ # - sources:
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+ # - model: upstage/SOLAR-10.7B-Instruct-v1.0
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+ # layer_range: [0, 48]
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+ # - model: beomi/OPEN-SOLAR-KO-10.7B
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+ # layer_range: [0, 48]
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+ ## or, the equivalent models: syntax:
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+ ## models:
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+ ## - model: psmathur/orca_mini_v3_13b
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+ ## - model: garage-bAInd/Platypus2-13B
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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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