Qwen3-30B-A3B-YOYO

Name: Qwen3-30B-A3B-YOYO
Author: YOYO-AI

30.0B

2 languages

license:apache-2.0

YOYO-AI

Language Model

OTHER

30B params

New

36 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

68GB+ RAM

Mobile

Laptop

Server

Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile

4-6GB RAM

Laptop

16GB RAM

Server

GPU

Minimum Recommended

28GB+ RAM

Code Examples

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

Configurationyaml

models:
  - model: Qwen/Qwen3-30B-A3B
    parameters:
      density: 0.5
      weight: 1
      lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
  density: 1
  weight: 1
  lambda: 0.9
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B

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