Lunar-4B

4
1
license:mit
by
Sakalti
Language Model
OTHER
4B params
New
4 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
9GB+ RAM
Mobile
Laptop
Server
Quick Summary

This project utilizes HODACHI/Borea-Phi-3.

Device Compatibility

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

Code Examples

Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Common
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: microsoft/phi-3.5-mini-instruct
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: float16

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