mergekit-slerp-znbfpqv

2
—
by
mergekit-community
Language Model
OTHER
New
2 downloads
Early-stage
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Edge AI:
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Quick Summary

This is a merge of pre-trained language models created using mergekit.

Code Examples

Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]
Configurationyaml
models:
  - model: mergekit-community/mergekit-slerp-irynmhm
  - model: mergekit-community/mergekit-slerp-pjjpegi
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-irynmhm
tokenizer_source: mergekit-community/mergekit-slerp-irynmhm
dtype: bfloat16
parameters:
  t: [0.25, 0.5, 0.25, 0.5, 0.25]

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