---
base_model:
- 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
library_name: transformers
tags:
- mergekit
- merge
- bfloat16
- safetensors
- llama
- llama-3
- llama-3.2
- 3b
- chat
- creative
- conversational
- not-for-all-audiences
language:
- en
- ru

---
# Llama-3.2-Kapusta-3B-v8

>Small and useful.

![KapustaLogo256.png](https://cdn-uploads.huggingface.co/production/uploads/673125091920e70ac26c8a2e/vRJ1aZxx5o-_7yC2L2YCL.png)

This is an interesting merge of **14 cool models**, created using [mergekit](https://github.com/arcee-ai/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](https://huggingface.co/bunnycore/Llama-3.2-3B-Creative)
* [bunnycore/Llama-3.2-3B-Mix](https://huggingface.co/bunnycore/Llama-3.2-3B-Mix)
* [bunnycore/Llama-3.2-3B-Pure-RP](https://huggingface.co/bunnycore/Llama-3.2-3B-Pure-RP)
* [bunnycore/Llama-3.2-3B-Stock](https://huggingface.co/bunnycore/Llama-3.2-3B-Stock)
* [bunnycore/Llama-3.2-3B-TitanFusion-v2](https://huggingface.co/bunnycore/Llama-3.2-3B-TitanFusion-v2)
* [CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct](https://huggingface.co/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct)
* [Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated](https://huggingface.co/Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated)
* [Hastagaras/L3.2-JametMini-3B-MK.III](https://huggingface.co/Hastagaras/L3.2-JametMini-3B-MK.III)
* [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated)
* [Lyte/Llama-3.2-3B-Overthinker](https://huggingface.co/Lyte/Llama-3.2-3B-Overthinker)
* [passing2961/Thanos-3B](https://huggingface.co/passing2961/Thanos-3B)
* [SaisExperiments/Evil-Alpaca-3B-L3.2](https://huggingface.co/SaisExperiments/Evil-Alpaca-3B-L3.2)
* [ValiantLabs/Llama3.2-3B-Enigma](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma)
* [ValiantLabs/Llama3.2-3B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2)

### Configuration

The following YAML configurations was used to produce this model:

```yaml
# 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 🖤