MiniusLight-24B-v3-test

3
24.0B
—
by
DoppelReflEx
Language Model
OTHER
24B params
New
3 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
54GB+ RAM
Mobile
Laptop
Server
Quick Summary

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

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
23GB+ RAM

Code Examples

Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: /content/BlackSheep-24B
  - model: /content/MS3.2-Austral-Winton
merge_method: slerp
base_model: /content/MS3.2-Austral-Winton
parameters:
  rescale: true
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base

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