ElvenMaid-12B

Name: ElvenMaid-12B
Author: yamatazen

12.0B

2 languages

—

yamatazen

Language Model

OTHER

12B params

New

0 downloads

Early-stage

Try on Hugging Face Add to Compare

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

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

Configurationyaml

base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
models:
  - model: yamatazen/Himeyuri-Magnum-12B
    parameters:
      density: 0.75
      weight: 1.0
  - model: yamatazen/LoyalMaid-12B
    parameters:
      density: 0.5
      weight: 1.0
  - model: inflatebot/MN-12B-Mag-Mell-R1
    parameters:
      density: 0.3
      weight: 1.0
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true

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