Qwen3-1.5B-Instruct

Name: Qwen3-1.5B-Instruct
Author: mergekit-community

149

—

mergekit-community

Language Model

OTHER

1.5B params

New

149 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

4GB+ 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

2GB+ RAM

Code Examples

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Configurationyaml

models:
  - model: Qwen/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

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