merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear 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:



merge_method: linear
dtype: bfloat16
normalize: true
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
models:
  - model: bunnycore/Llama-3.2-3B-All-Mix
    parameters:
      weight: 10
      density: 1
  - model: prithivMLmods/Codepy-Deepthink-3B
    parameters:
      weight: 7
      density: 0.8
  - model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
    parameters:
      weight: 10
      density: 1
  - model: HuggingFaceTB/finemath-ablation-infiwebmath
    parameters:
      weight: 7
      density: 0.8
  - model: prithivMLmods/Llama-Sentient-3.2-3B-Instruct
    parameters:
      weight: 7
      density: 0.8
  - model: passing2961/Thanos-3B
    parameters:
      weight: 7
      density: 0.8
  - model: bunnycore/Llama-3.2-3B-RP-DeepThink
    parameters:
      weight: 7
      density: 0.8

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 22.47
IFEval (0-Shot) 66.79
BBH (3-Shot) 23.04
MATH Lvl 5 (4-Shot) 13.52
GPQA (0-shot) 3.58
MuSR (0-shot) 3.15
MMLU-PRO (5-shot) 24.76
Downloads last month
154
Safetensors
Model size
3.61B params
Tensor type
BF16
·
Inference Examples
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/Smol-Llama-3.2-3B

Evaluation results