SJT-1.5B-Alpha-1.1
2
1
1.5B
license:apache-2.0
by
Sakalti
Language Model
OTHER
1.5B params
New
2 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
4GB+ RAM
Mobile
Laptop
Server
Quick Summary
Base model includes Sakalti Saba 1.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM
Code Examples
Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Configurationyaml
models:
- model: Sakalti/SJT-1.5B-Alpha
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Sakalti/Saba1.5-Pro
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16Deploy This Model
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