Tiny Fine Tunes🤏
Collection
A collection of SLM (Small Language Model) fine tunes.
•
4 items
•
Updated
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 unsloth/Llama-3.2-1B-Instruct 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: NotASI/FineTome-Llama3.2-1B-0929
parameters:
weight: 1
- model: unsloth/Llama-3.2-1B-Instruct
parameters:
weight: 1
merge_method: ties
base_model: unsloth/Llama-3.2-1B-Instruct
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 8.94 |
| IFEval (0-Shot) | 39.24 |
| BBH (3-Shot) | 5.80 |
| MATH Lvl 5 (4-Shot) | 1.36 |
| GPQA (0-shot) | 0.00 |
| MuSR (0-shot) | 2.50 |
| MMLU-PRO (5-shot) | 4.74 |
- Downloads last month
- 21
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 NotASI/FineTome-v1.5-Llama3.2-1B-1007
Collection including NotASI/FineTome-v1.5-Llama3.2-1B-1007
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard39.240
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard5.800
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard1.360
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.000
- acc_norm on MuSR (0-shot)Open LLM Leaderboard2.500
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard4.740