README.md

---
language:
- en
- zh
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- custom-research
base_model:
- sthenno-com/miscii-14b-1028
metrics:
- accuracy
model-index:
- name: miscii-14b-1225
  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: 78.78
      name: strict accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
      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: 50.91
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
      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: 31.57
      name: exact match
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
      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: 17
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
      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: 14.77
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
      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: 47.46
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1225
      name: Open LLM Leaderboard
---

# miscii-14b-1225

![](Rrharil.png)
Image source: [Rrhar'il | Phigros](https://phigros.fandom.com/wiki/Rrhar%27il)

## Prompting & Usage

See [miscii-14b-1028](https://huggingface.co/sthenno-com/miscii-14b-1028) for more details.

## Training Details

Coming soon

## Merge Details

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [miscii-14b-1028](https://huggingface.co/sthenno-com/miscii-14b-1028) as a base.

### Models Merged

The following models were included in the merge:

- sthenno/exp-002
- sthenno/miscii-1218

### Configuration

The following YAML configuration was used to produce this model:

```yaml
tokenizer_source: "base"
chat_template: "chatml"

merge_method: ties
dtype: bfloat16

parameters:
  normalize: true

base_model: sthenno-com/miscii-14b-1028

models:
  - model: sthenno-com/miscii-14b-1028
    parameters:
      weight: 1
      density: 0.5
  - model: sthenno/miscii-1218
    parameters:
      weight: 1
      density: 0.5
  - model: sthenno/exp-002
    parameters:
      weight: 0.9
      density: 0.5
  - model: sthenno/miscii-1218
    parameters:
      weight: 0.6
      density: 0.5
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)

Congratulations to the **miscii** series models for surpassing 40 points for the first time!
As of **December 25, 2024**, this should be the **best-performing 14B model** in the tests, right?

|      Metric       |Value|
|-------------------|----:|
|Avg.               |40.08|
|IFEval (0-Shot)    |78.78|
|BBH (3-Shot)       |50.91|
|MATH Lvl 5 (4-Shot)|31.57|
|GPQA (0-shot)      |17.00|
|MuSR (0-shot)      |14.77|
|MMLU-PRO (5-shot)  |47.46|