SJT-14B

1
1
14.0B
2 languages
license:apache-2.0
by
Sakalti
Language Model
OTHER
14B params
New
1 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
32GB+ RAM
Mobile
Laptop
Server
Quick Summary

Base model: djuna Q2.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
14GB+ RAM

Code Examples

Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: djuna/Q2.5-Veltha-14B
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: hotmailuser/QwenSlerp2-14B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16

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