mergekit-ties-htjjeox

1
llama
by
mergekit-community
Language Model
OTHER
2306.01708B params
New
1 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
5155GB+ 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
2148GB+ RAM

Code Examples

Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Configurationyaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
parameters:
  normalize: false
  int8_mask: true
dtype: float16

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