merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- meta-llama/meta-llama-3.1-8b-instruct
- paraschopra/llama-31-8b-instruct-120k-correct-plus-real-low-lr
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: paraschopra/llama-31-8b-instruct-120k-correct-plus-real-low-lr
layer_range: [0, 32]
- model: meta-llama/meta-llama-3.1-8b-instruct
layer_range: [0, 32]
merge_method: slerp
base_model: meta-llama/meta-llama-3.1-8b-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
tokenizer_source: meta-llama/meta-llama-3.1-8b-instruct
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Inference Providers
NEW
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Model tree for paraschopra/llama-31-8b-instruct-120k-correct-plus-real-low-lr_MERGED
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct
Finetuned
unsloth/Meta-Llama-3.1-8B-Instruct