BBAI_145_

1
—
by
lkoenig
Language Model
OTHER
7B params
New
1 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
16GB+ 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
7GB+ RAM

Code Examples

Configurationyaml
slices:
- sources:
  - model: gz987/qwen2.5-7b-cabs-v0.3
    layer_range:
    - 0
    - 28
  - model: gz987/qwen2.5-7b-cabs-v0.4
    layer_range:
    - 0
    - 28
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.4
parameters:
  t:
  - filter: self_attn
    value: 0.5
  - filter: mlp
    value: 0.5
  - value: 0.5
dtype: bfloat16
Configurationyaml
slices:
- sources:
  - model: gz987/qwen2.5-7b-cabs-v0.3
    layer_range:
    - 0
    - 28
  - model: gz987/qwen2.5-7b-cabs-v0.4
    layer_range:
    - 0
    - 28
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.4
parameters:
  t:
  - filter: self_attn
    value: 0.5
  - filter: mlp
    value: 0.5
  - value: 0.5
dtype: bfloat16
Configurationyaml
slices:
- sources:
  - model: gz987/qwen2.5-7b-cabs-v0.3
    layer_range:
    - 0
    - 28
  - model: gz987/qwen2.5-7b-cabs-v0.4
    layer_range:
    - 0
    - 28
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.4
parameters:
  t:
  - filter: self_attn
    value: 0.5
  - filter: mlp
    value: 0.5
  - value: 0.5
dtype: bfloat16
Configurationyaml
slices:
- sources:
  - model: gz987/qwen2.5-7b-cabs-v0.3
    layer_range:
    - 0
    - 28
  - model: gz987/qwen2.5-7b-cabs-v0.4
    layer_range:
    - 0
    - 28
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.4
parameters:
  t:
  - filter: self_attn
    value: 0.5
  - filter: mlp
    value: 0.5
  - value: 0.5
dtype: bfloat16
Configurationyaml
slices:
- sources:
  - model: gz987/qwen2.5-7b-cabs-v0.3
    layer_range:
    - 0
    - 28
  - model: gz987/qwen2.5-7b-cabs-v0.4
    layer_range:
    - 0
    - 28
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.4
parameters:
  t:
  - filter: self_attn
    value: 0.5
  - filter: mlp
    value: 0.5
  - value: 0.5
dtype: bfloat16
Configurationyaml
slices:
- sources:
  - model: gz987/qwen2.5-7b-cabs-v0.3
    layer_range:
    - 0
    - 28
  - model: gz987/qwen2.5-7b-cabs-v0.4
    layer_range:
    - 0
    - 28
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.4
parameters:
  t:
  - filter: self_attn
    value: 0.5
  - filter: mlp
    value: 0.5
  - value: 0.5
dtype: bfloat16

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