model-3

7
—
by
Sakalti
Language Model
OTHER
2306.01708B params
New
7 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
5155GB+ RAM
Mobile
Laptop
Server
Quick Summary

Library name: transformers, tags: mergekit.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2148GB+ RAM

Code Examples

Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
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parameters:
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  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16

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