merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- layer_range: [0, 40]
model: lilmeaty/ksksksk
parameters:
normalize: true
int8_mask: true
density: 0.5
weight: 0.1
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
method: int8
value: 100
quantization:
method: int4
value: 100
- sources:
- layer_range: [0, 3]
model: lilmeaty/ksksksk
parameters:
normalize: true
int8_mask: true
density: 0.5
weight: 0.1
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
method: int8
value: 100
quantization:
method: int4
value: 100
parameters:
normalize: true
int8_mask: true
density: 0.5
weight: 0.1
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
convert_to:
type:
- gguf
value: 100.0
merge_method: passthrough
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lilmeaty/ksksksk