Qwen2.5-14B-della

1
14.0B
—
by
mergekit-community
Language Model
OTHER
14B params
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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: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base
Configurationyaml
models:
  - model: Qwen/Qwen2.5-14B-instruct
    parameters:
      density: 1 
      weight: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-14B
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: float16
tokenizer_source: base

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