Mistral-v0.3-13B-32k-Base
Mistral-v0.3-13B-32k-Base is a merge of the following models using mergekit:
🧩 Configuration
dtype: bfloat16
merge_method: linear # use linear so we can include multiple models, albeit at a zero weight
parameters:
weight: 1.0
slices:
- sources:
- layer_range: [0, 8]
model: win10/Breeze-13B-32k-Base-v1_0
- layer_range: [0, 8]
model: win10/Mistral-v0.3-13B-32k-Base
parameters:
weight: 0
- sources:
- layer_range: [4, 12]
model: win10/Mistral-v0.3-13B-32k-Base
- layer_range: [4, 12]
model: win10/Breeze-13B-32k-Base-v1_0
parameters:
weight: 0
- sources:
- layer_range: [8, 16]
model: win10/Breeze-13B-32k-Base-v1_0
parameters:
weight: 0
- layer_range: [8, 16]
model: win10/Mistral-v0.3-13B-32k-Base
parameters:
weight: 0
- sources:
- layer_range: [12, 20]
model: win10/Mistral-v0.3-13B-32k-Base
- layer_range: [12, 20]
model: win10/Breeze-13B-32k-Base-v1_0
parameters:
weight: 0
- sources:
- layer_range: [16, 24]
model: win10/Breeze-13B-32k-Base-v1_0
- layer_range: [16, 24]
model: win10/Mistral-v0.3-13B-32k-Base
parameters:
weight: 0
- sources:
- layer_range: [20, 28]
model: win10/Mistral-v0.3-13B-32k-Base
- layer_range: [20, 28]
model: win10/Breeze-13B-32k-Base-v1_0
parameters:
weight: 0
- sources:
- layer_range: [24, 32]
model: win10/Breeze-13B-32k-Base-v1_0
- layer_range: [24, 32]
model: win10/Mistral-v0.3-13B-32k-Base
parameters:
weight: 0
- sources:
- model: win10/Mistral-v0.3-13B-32k-Base
layer_range: [28, 42]
- model: win10/Breeze-13B-32k-Base-v1_0
layer_range: [28, 42]
parameters:
weight: 0
- sources:
- model: win10/Breeze-13B-32k-Base-v1_0
layer_range: [32, 48]
- model: win10/Mistral-v0.3-13B-32k-Base
layer_range: [32, 48]
parameters:
weight: 0
- sources:
- model: win10/Mistral-v0.3-13B-32k-Base
layer_range: [38, 52]
- model: win10/Breeze-13B-32k-Base-v1_0
layer_range: [38, 52]
parameters:
weight: 0
- sources:
- model: win10/Breeze-13B-32k-Base-v1_0
layer_range: [48, 56]
- model: win10/Mistral-v0.3-13B-32k-Base
layer_range: [48, 56]
parameters:
weight: 0
tokenizer_source: union
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