This language model is a merged version of several pre-trained models, designed to excel in roleplay, long-form question answering, and prompt following tasks. It was created using the TIES merge method with huihui-ai/Llama-3.2-3B-Instruct-abliterated as the base model.
Intended Use:
This model is suitable for a variety of applications, including:
- Creative Writing: Generating stories, poems, scripts, and other forms of creative text.
- Question Answering: Providing comprehensive and informative answers to a wide range of questions.
- Role-Playing: Engaging in interactive role-playing scenarios with users.
- Prompt Following: Completing tasks and generating text based on specific prompts or instructions.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using huihui-ai/Llama-3.2-3B-Instruct-abliterated as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: bunnycore/Llama-3.2-3B-Long-Think
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Pure-RP
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 21.40 |
IFEval (0-Shot) | 64.04 |
BBH (3-Shot) | 23.78 |
MATH Lvl 5 (4-Shot) | 12.69 |
GPQA (0-shot) | 1.57 |
MuSR (0-shot) | 2.75 |
MMLU-PRO (5-shot) | 23.56 |
- Downloads last month
- 54
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for bunnycore/Llama-3.2-3B-Mix-Skill
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard64.040
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard23.780
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.690
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.570
- acc_norm on MuSR (0-shot)Open LLM Leaderboard2.750
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.560