---
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- custom-research
- miscii
base_model:
- sthenno-com/miscii-14b-1028
- Qwen/Qwen2.5-14B-Instruct
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).

# [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|


## Refined since 2025-02-15

|      Metric       |Value|
|-------------------|----:|
|Avg.               |42.35|
|IFEval (0-Shot)    |78.78|
|BBH (3-Shot)       |50.91|
|MATH Lvl 5 (4-Shot)|45.17|
|GPQA (0-shot)      |17.00|
|MuSR (0-shot)      |14.77|
|MMLU-PRO (5-shot)  |47.46|