---
license: apache-2.0
tags:
- merge
- mergekit
---

# MetaModel

This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):
 * [jeonsworld/CarbonVillain-en-10.7B-v4](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4)
 * [kekmodel/StopCarbon-10.7B-v5](https://huggingface.co/kekmodel/StopCarbon-10.7B-v5)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: jeonsworld/CarbonVillain-en-10.7B-v4
        layer_range: [0, 48]
      - model: kekmodel/StopCarbon-10.7B-v5
        layer_range: [0, 48]
merge_method: slerp
base_model: jeonsworld/CarbonVillain-en-10.7B-v4
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
```

# Dataset Card for Evaluation run of gagan3012/MetaModel

<!-- Provide a quick summary of the dataset. -->

Dataset automatically created during the evaluation run of model [gagan3012/MetaModel](https://huggingface.co/gagan3012/MetaModel) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).

The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.

The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.

An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).

To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_gagan3012__MetaModel",
	"harness_winogrande_5",
	split="train")
```

## Latest results

These are the [latest results from run 2024-01-04T14:09:43.780941](https://huggingface.co/datasets/open-llm-leaderboard/details_gagan3012__MetaModel/blob/main/results_2024-01-04T14-09-43.780941.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):

```python
{
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        "acc_stderr": 0.031642195230944255,
        "acc_norm": 0.6671639222858992,
        "acc_norm_stderr": 0.03228745343467652,
        "mc1": 0.5691554467564259,
        "mc1_stderr": 0.01733527247533237,
        "mc2": 0.7184177934834866,
        "mc2_stderr": 0.014995634120330182
    },
    "harness|arc:challenge|25": {
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        "acc_stderr": 0.013582571095815291,
        "acc_norm": 0.7107508532423208,
        "acc_norm_stderr": 0.01325001257939344
    },
    "harness|hellaswag|10": {
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        "acc_norm": 0.8844851623182632,
        "acc_norm_stderr": 0.0031898897894046684
    },
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    },
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    "harness|hendrycksTest-college_computer_science|5": {
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    "harness|hendrycksTest-college_mathematics|5": {
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    "harness|hendrycksTest-high_school_microeconomics|5": {
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    "harness|hendrycksTest-high_school_psychology|5": {
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    "harness|hendrycksTest-high_school_statistics|5": {
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    "harness|hendrycksTest-high_school_us_history|5": {
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}
```