Emilia-Multislerp-12B

3
2
12.0B
2 languages
—
by
yamatazen
Language Model
OTHER
12B params
New
3 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
27GB+ RAM
Mobile
Laptop
Server
Quick Summary

This is probably the first multislerp model on Hugging Face.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
12GB+ RAM

Code Examples

Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
base_model: yamatazen/Orihime-12B
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
merge_method: multislerp
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union

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