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models:
- model: allenai/tulu-2-dpo-7b
# no parameters necessary for base model
- model: tokyotech-llm/Swallow-7b-NVE-instruct-hf # Japanese language skills
parameters:
density: 1
weight: 0.40
merge_method: dare_ties
base_model: allenai/tulu-2-dpo-7b
dtype: bfloat16
name: Superswallow-7b-v0.3-NVE
---
models:
- model: tokyotech-llm/Swallow-7b-instruct-hf
# no parameters necessary for base model
- model: Superswallow-7b-v0.3-NVE
parameters:
density: 1
weight:
- filter: mlp
value: 0.1
- filter: self_attn
value: 0.6
- value: 0 # fallback for rest of tensors.
merge_method: dare_ties
base_model: tokyotech-llm/Swallow-7b-instruct-hf
dtype: bfloat16
tokenizer_source: union
name: Superswallow-7b-v0.3-base
---
models:
- model: tokyotech-llm/Swallow-7b-instruct-hf
# no parameters necessary for base model
- model: Superswallow-7b-v0.3-NVE
parameters:
density: 1
weight:
- filter: mlp
value: [0.6, 0.1, 0.6, 0.1, 0.6, 0.1, 0.6, 0.1, 0.1]
- filter: self_attn
value: [0.6, 0.6, 0.1, 0.6, 0.1, 0.6, 0.1, 0.6, 0.6]
- value: 0 # fallback for rest of tensors.
merge_method: dare_ties
base_model: tokyotech-llm/Swallow-7b-instruct-hf
dtype: bfloat16
tokenizer_source: union
name: Superswallow-7b-v0.3-flavor
---
slices:
- sources:
- model: Superswallow-7b-v0.3-base
layer_range: [0, 32]
- model: Superswallow-7b-v0.3-flavor
layer_range: [0, 32]
merge_method: slerp
base_model: Superswallow-7b-v0.3-base
parameters:
t: # model stabilization
- 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: bfloat16
name: Superswallow-7b-v0.3
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