Saka-1.5B

8
1
1.5B
—
by
Sakalti
Language Model
OTHER
1.5B params
New
8 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
4GB+ RAM
Mobile
Laptop
Server
Quick Summary

Base model: SakanaAI TinySwallow 1.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM

Code Examples

Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: SakanaAI/TinySwallow-1.5B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Sakalti/SJT-1.5B-Alpha
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16

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