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---
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|
|