Llama-3.2-Kapusta-3B-v8

Small and useful.

This is an interesting merge of 14 cool models, created using mergekit. Enjoy exploring :)

Merge Details

Method

This model was merged using the multistep process and remerge with some model variations for best result.

Models

The following models were included in the merge:

• bunnycore/Llama-3.2-3B-Creative
• bunnycore/Llama-3.2-3B-Mix
• bunnycore/Llama-3.2-3B-Pure-RP
• bunnycore/Llama-3.2-3B-Stock
• bunnycore/Llama-3.2-3B-TitanFusion-v2
• CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
• Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated
• Hastagaras/L3.2-JametMini-3B-MK.III
• huihui-ai/Llama-3.2-3B-Instruct-abliterated
• Lyte/Llama-3.2-3B-Overthinker
• passing2961/Thanos-3B
• SaisExperiments/Evil-Alpaca-3B-L3.2
• ValiantLabs/Llama3.2-3B-Enigma
• ValiantLabs/Llama3.2-3B-ShiningValiant2

Configuration

The following YAML configurations was used to produce this model:

# A-3B-v1
models:
  - model: Hastagaras/L3.2-JametMini-3B-MK.III
  - model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
merge_method: model_stock
base_model: Lyte/Llama-3.2-3B-Overthinker
dtype: bfloat16

# B-3B-v1
models:
  - model: ValiantLabs/Llama3.2-3B-ShiningValiant2
  - model: bunnycore/Llama-3.2-3B-Stock
merge_method: model_stock
base_model: Lyte/Llama-3.2-3B-Overthinker
dtype: bfloat16

# C-3B-v1
models:
  - model: bunnycore/Llama-3.2-3B-Pure-RP
  - model: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
merge_method: model_stock
base_model: ValiantLabs/Llama3.2-3B-ShiningValiant2
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v1
models:
  - model: A-3B-v1
    parameters:
      density: [0.8, 0.5, 0.2]
      weight:  0.8
  - model: B-3B-v1
    parameters:
      density: [0.2, 0.8, 0.2]
      weight:  0.25
  - model: C-3B-v1
    parameters:
      density: [0.2, 0.5, 0.8]
      weight:  0.6
merge_method: ties
base_model: bunnycore/Llama-3.2-3B-Mix
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v2
models:
  - model: SaisExperiments/Evil-Alpaca-3B-L3.2
  - model: bunnycore/Llama-3.2-3B-TitanFusion-v2
merge_method: model_stock
base_model: F:/3b/Llama-3.2-Kapusta-3B-v1
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v3
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v2
    parameters:
      weight:  [0.5, 0.6, 0.4, 0.7, 0.3, 0.8, 0.2, 0.9, 0.1,  0.9, 0.1,  0.9, 0.1, 0.8, 0.2, 0.7, 0.3, 0.6, 0.4, 0.5]
      density: [0.2, 0.8, 0.2]
merge_method: della
parameters:
  epsilon: 0.1
  lambda: 0.5
base_model: F:/3b/Llama-3.2-Kapusta-3B-v1
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v4A | della
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v1
    parameters:
      weight:  0.6
      density: 0.5
  - model: Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated
    parameters:
      weight:  0.5
      density: [0.4, 0.3, 0.3, 0.3]
  - model: bunnycore/Llama-3.2-3B-Creative
    parameters:
      weight:  0.3
      density: [0.3, 0.4, 0.3, 0.3]
  - model: ValiantLabs/Llama3.2-3B-Enigma
    parameters:
      weight:  0.3
      density: [0.3, 0.3, 0.4, 0.3]
  - model: passing2961/Thanos-3B
    parameters:
      weight:  0.3
      density: [0.3, 0.3, 0.3, 0.4]
merge_method: della
parameters:
  epsilon: 0.2
  lambda:  0.5
base_model: F:/3b/Llama-3.2-Kapusta-3B-v3
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v4B | breadcrumbs
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v1
    parameters:
      weight:  0.6
      density: 0.5
  - model: Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated
    parameters:
      weight:  0.5
      density: [0.4, 0.3, 0.3, 0.3]
  - model: bunnycore/Llama-3.2-3B-Creative
    parameters:
      weight:  0.3
      density: [0.3, 0.4, 0.3, 0.3]
  - model: ValiantLabs/Llama3.2-3B-Enigma
    parameters:
      weight:  0.3
      density: [0.3, 0.3, 0.4, 0.3]
  - model: passing2961/Thanos-3B
    parameters:
      weight:  0.3
      density: [0.3, 0.3, 0.3, 0.4]
merge_method: breadcrumbs
parameters:
  gamma: 0.02
base_model: F:/3b/Llama-3.2-Kapusta-3B-v3
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v4C | dare_ties
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v1
    parameters:
      weight:  0.6
      density: 0.5
  - model: Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated
    parameters:
      weight:  0.5
      density: [0.4, 0.3, 0.3, 0.3]
  - model: bunnycore/Llama-3.2-3B-Creative
    parameters:
      weight:  0.3
      density: [0.3, 0.4, 0.3, 0.3]
  - model: ValiantLabs/Llama3.2-3B-Enigma
    parameters:
      weight:  0.3
      density: [0.3, 0.3, 0.4, 0.3]
  - model: passing2961/Thanos-3B
    parameters:
      weight:  0.3
      density: [0.3, 0.3, 0.3, 0.4]
merge_method: dare_ties
base_model: F:/3b/Llama-3.2-Kapusta-3B-v3
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v5
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v4A
  - model: F:/3b/Llama-3.2-Kapusta-3B-v4B
  - model: F:/3b/Llama-3.2-Kapusta-3B-v4C
merge_method: model_stock
base_model: F:/3b/Llama-3.2-Kapusta-3B-v3
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v6
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v3
merge_method: slerp
base_model: F:/3b/Llama-3.2-Kapusta-3B-v5
dtype: bfloat16
parameters:
  t: [0.5, 0.6, 0.4, 0.7, 0.3, 0.8, 0.2, 0.8, 0.2, 0.7, 0.3, 0.6, 0.4, 0.5]

# Llama-3.2-Kapusta-3B-v7
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v1
  - model: F:/3b/Llama-3.2-Kapusta-3B-v2
  - model: F:/3b/Llama-3.2-Kapusta-3B-v3
  - model: F:/3b/Llama-3.2-Kapusta-3B-v4A
  - model: F:/3b/Llama-3.2-Kapusta-3B-v4B
  - model: F:/3b/Llama-3.2-Kapusta-3B-v4C
  - model: F:/3b/Llama-3.2-Kapusta-3B-v5
merge_method: model_stock
base_model: F:/3b/Llama-3.2-Kapusta-3B-v6
dtype: bfloat16

# Llama-3.2-Kapusta-3B-v8
models:
  - model: F:/3b/Llama-3.2-Kapusta-3B-v1
  - model: F:/3b/Llama-3.2-Kapusta-3B-v3
  - model: F:/3b/Llama-3.2-Kapusta-3B-v5
merge_method: model_stock
base_model: F:/3b/Llama-3.2-Kapusta-3B-v7
dtype: bfloat16

My thanks to the authors of the original models, your work is incredible. Have a good time 🖤