Norns-Qwen2.5-12B

7
1
12.0B
—
by
win10
Language Model
OTHER
12B params
New
7 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
27GB+ 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
12GB+ RAM

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by Norns-Qwen2.5-12B with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

Configurationyaml
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [4, 12]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [8, 16]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [12, 20]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [16, 24]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [20, 28]
    model: win10/Norns-Qwen2.5-7B
Configurationyaml
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [4, 12]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [8, 16]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [12, 20]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [16, 24]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [20, 28]
    model: win10/Norns-Qwen2.5-7B
Configurationyaml
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [4, 12]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [8, 16]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [12, 20]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [16, 24]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [20, 28]
    model: win10/Norns-Qwen2.5-7B
Configurationyaml
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [4, 12]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [8, 16]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [12, 20]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [16, 24]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [20, 28]
    model: win10/Norns-Qwen2.5-7B
Configurationyaml
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [4, 12]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [8, 16]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [12, 20]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [16, 24]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [20, 28]
    model: win10/Norns-Qwen2.5-7B
Configurationyaml
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [4, 12]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [8, 16]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [12, 20]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [16, 24]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [20, 28]
    model: win10/Norns-Qwen2.5-7B
Configurationyaml
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [4, 12]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [8, 16]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [12, 20]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [16, 24]
    model: win10/Norns-Qwen2.5-7B
- sources:
  - layer_range: [20, 28]
    model: win10/Norns-Qwen2.5-7B

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