---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Llama-3.2-3B-KodCode-R1
- bunnycore/Llama-3.2-3b-RP-Toxic-R1
- unsloth/Llama-3.2-3B-Instruct
model-index:
- name: Llama-3.2-3B-ToxicKod
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 63.19
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-ToxicKod
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 22.98
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-ToxicKod
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 16.99
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-ToxicKod
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 2.13
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-ToxicKod
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 1.43
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-ToxicKod
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 20.89
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.2-3B-ToxicKod
      name: Open LLM Leaderboard
---

This model is intended to be uncensored, and it can also role-play and use reasoning.

### Reasoning Mode:

```
Think about the reasoning process in the mind first, then provide the answer.

The reasoning process should be wrapped within <think> </think> tags, then provide the answer after that, i.e., <think> reasoning process here </think> answer.

```


### Models Merged

The following models were included in the merge:
* [bunnycore/Llama-3.2-3B-KodCode-R1](https://huggingface.co/bunnycore/Llama-3.2-3B-KodCode-R1)
* [bunnycore/Llama-3.2-3b-RP-Toxic-R1](https://huggingface.co/bunnycore/Llama-3.2-3b-RP-Toxic-R1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  # Pivot model
  - model: unsloth/Llama-3.2-3B-Instruct
  # Target models
  - model: bunnycore/Llama-3.2-3B-KodCode-R1
  - model: bunnycore/Llama-3.2-3b-RP-Toxic-R1
merge_method: sce
base_model: unsloth/Llama-3.2-3B-Instruct
parameters:
  select_topk: 1.2
dtype: bfloat16

```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__Llama-3.2-3B-ToxicKod-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |21.27|
|IFEval (0-Shot)    |63.19|
|BBH (3-Shot)       |22.98|
|MATH Lvl 5 (4-Shot)|16.99|
|GPQA (0-shot)      | 2.13|
|MuSR (0-shot)      | 1.43|
|MMLU-PRO (5-shot)  |20.89|