Ayla-Light-12B

Name: Ayla-Light-12B
Author: yamatazen

12.0B

2 languages

—

yamatazen

Language Model

OTHER

12B params

New

2 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: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

Configurationyaml

base_model: nbeerbower/mistral-nemo-gutenberg-12B-v4+nbeerbower/Mistral-Nemo-12B-abliterated-LORA
models:
  - model: Elizezen/Himeyuri-v0.1-12B
merge_method: slerp
dtype: bfloat16
parameters:
  normalize: true
  t: [0.25,0.3,0.5,0.3,0.25]

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