Smol-Llama-3.2-3B / README.md
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Adding Evaluation Results (#1)
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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- passing2961/Thanos-3B
- prithivMLmods/Llama-Sentient-3.2-3B-Instruct
- bunnycore/Llama-3.2-3B-RP-DeepThink
- bunnycore/Llama-3.2-3B-All-Mix
- huihui-ai/Llama-3.2-3B-Instruct-abliterated
- prithivMLmods/Codepy-Deepthink-3B
- HuggingFaceTB/finemath-ablation-infiwebmath
model-index:
- name: Smol-Llama-3.2-3B
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: 66.79
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Smol-Llama-3.2-3B
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: 23.04
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Smol-Llama-3.2-3B
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: 13.52
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Smol-Llama-3.2-3B
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: 3.58
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Smol-Llama-3.2-3B
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: 3.15
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Smol-Llama-3.2-3B
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: 24.76
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Smol-Llama-3.2-3B
name: Open LLM Leaderboard
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) as a base.
### Models Merged
The following models were included in the merge:
* [passing2961/Thanos-3B](https://huggingface.co/passing2961/Thanos-3B)
* [prithivMLmods/Llama-Sentient-3.2-3B-Instruct](https://huggingface.co/prithivMLmods/Llama-Sentient-3.2-3B-Instruct)
* [bunnycore/Llama-3.2-3B-RP-DeepThink](https://huggingface.co/bunnycore/Llama-3.2-3B-RP-DeepThink)
* [bunnycore/Llama-3.2-3B-All-Mix](https://huggingface.co/bunnycore/Llama-3.2-3B-All-Mix)
* [prithivMLmods/Codepy-Deepthink-3B](https://huggingface.co/prithivMLmods/Codepy-Deepthink-3B)
* [HuggingFaceTB/finemath-ablation-infiwebmath](https://huggingface.co/HuggingFaceTB/finemath-ablation-infiwebmath)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
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](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__Smol-Llama-3.2-3B-details)
| 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|