---
base_model:
- lilmeaty/2
- ibm-granite/granite-3b-code-base-2k
- Qwen/Qwen2.5-3B
- ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
- Qwen/Qwen2.5-3B-Instruct
- PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
- ministral/Ministral-3b-instruct
- lilmeaty/4
- Bllossom/llama-3.2-Korean-Bllossom-3B
- stabilityai/stable-code-3b
- lilmeaty/5
- chuanli11/Llama-3.2-3B-Instruct-uncensored
library_name: transformers
tags:
- mergekit
- merge

---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [lilmeaty/2](https://huggingface.co/lilmeaty/2)
* [ibm-granite/granite-3b-code-base-2k](https://huggingface.co/ibm-granite/granite-3b-code-base-2k)
* [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B)
* [ICEPVP8977/Uncensored_llama_3.2_3b_safetensors](https://huggingface.co/ICEPVP8977/Uncensored_llama_3.2_3b_safetensors)
* [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
* [PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B)
* [ministral/Ministral-3b-instruct](https://huggingface.co/ministral/Ministral-3b-instruct)
* [lilmeaty/4](https://huggingface.co/lilmeaty/4)
* [Bllossom/llama-3.2-Korean-Bllossom-3B](https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-3B)
* [stabilityai/stable-code-3b](https://huggingface.co/stabilityai/stable-code-3b)
* [lilmeaty/5](https://huggingface.co/lilmeaty/5)
* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices: 
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/5
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/5
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/2
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/4
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: chuanli11/Llama-3.2-3B-Instruct-uncensored
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Bllossom/llama-3.2-Korean-Bllossom-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B-Instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: stabilityai/stable-code-3b
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ibm-granite/granite-3b-code-base-2k
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ministral/Ministral-3b-instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/2
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/4
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: chuanli11/Llama-3.2-3B-Instruct-uncensored
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Bllossom/llama-3.2-Korean-Bllossom-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B-Instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: stabilityai/stable-code-3b
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ibm-granite/granite-3b-code-base-2k
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ministral/Ministral-3b-instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/2
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/4
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: chuanli11/Llama-3.2-3B-Instruct-uncensored
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Bllossom/llama-3.2-Korean-Bllossom-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B-Instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: stabilityai/stable-code-3b
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ibm-granite/granite-3b-code-base-2k
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ministral/Ministral-3b-instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/5
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
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          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: lilmeaty/4
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: chuanli11/Llama-3.2-3B-Instruct-uncensored
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Bllossom/llama-3.2-Korean-Bllossom-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B-Instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: stabilityai/stable-code-3b
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ibm-granite/granite-3b-code-base-2k
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ministral/Ministral-3b-instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
parameters: 
  normalize: true
  int8_mask: true
  density: 0.5
  weight: 0.1
  random_seed: 0
  temperature: 0.5
  top_p: 0.65
  inference: true
  max_tokens: 999999999
  stream: true
normalize: true
int8_mask: true
density: 0.5
weight: 0.1
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
merge_method: passthrough

```