Mystic-Rune-v2-12B

2
2
12.0B
—
by
Vortex5
Language Model
OTHER
12B params
New
2 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

Code Examples

Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union
Configurationyaml
merge_method: ties
dtype: bfloat16
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
models:
  - model: Vortex5/MN-Mystic-Rune-12B
    parameters:
      weight: 1.0
      density: 1.0
parameters:
  normalize: true
tokenizer:
  source: union

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