Qwen2.5-14B-dpo-it-ties

2
—
by
mergekit-community
Language Model
OTHER
14B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
32GB+ 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
14GB+ RAM

Code Examples

Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base
Configurationyaml
models:  
  - model: mergekit-community/Qwen2.5-14B-dpo-it  
    parameters:  
      density: 1  
      weight: 1  
merge_method: ties  
base_model: Qwen/Qwen2.5-14B  
parameters:  
  density: 1  
  weight: 1  
  normalize: true  
  int8_mask: true  
dtype: float16
tokenizer_source: base

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