Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2

2
—
by
Xiaojian9992024
Language Model
OTHER
1.5B params
New
2 downloads
Early-stage
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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: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
    #no parameters necessary for base model
  - model: UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
    parameters:
      density: 0.5
      weight: 0.5
  - model: cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp
parameters:
  normalize: false
  int8_mask: true
dtype: float16

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