README.md

---
base_model:
- Qwen/Qwen2.5-Coder-14B-Instruct
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
- chain-of-thought
- reasoning
license: apache-2.0
language:
- en
datasets:
- PJMixers/Math-Multiturn-100K-ShareGPT
new_version: Daemontatox/CogitoZ14
library_name: transformers
model-index:
- name: CogitoZ14
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: wis-k/instruction-following-eval
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 66.37
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FCogitoZ14
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: SaylorTwift/bbh
      split: test
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 46.48
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FCogitoZ14
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: lighteval/MATH-Hard
      split: test
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 20.77
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FCogitoZ14
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 8.84
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FCogitoZ14
      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: 9.07
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FCogitoZ14
      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: 33.33
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Daemontatox%2FCogitoZ14
      name: Open LLM Leaderboard
---

![image](./image.webp)
# Uploaded Model

- **Developed by:** Daemontatox  
- **License:** apache-2.0  
- **Finetuned from model:** [unsloth/qwen2.5-coder-14b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-14b-instruct-bnb-4bit)  

## Overview

This Qwen2 model has been finetuned using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL (Transformers Reinforcement Learning) library. The finetuning process achieved a 2x speedup compared to traditional methods.

### Features
- Optimized for text generation and inference tasks.
- Lightweight with 4-bit quantization for efficient performance.
- Compatible with various NLP and code-generation applications.

## Acknowledgments

This model leverages Unsloth’s advanced optimization techniques to ensure faster training and inference.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
# [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/Daemontatox__CogitoZ14-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Daemontatox%2FCogitoZ14&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    30.81|
|IFEval (0-Shot)    |    66.37|
|BBH (3-Shot)       |    46.48|
|MATH Lvl 5 (4-Shot)|    20.77|
|GPQA (0-shot)      |     8.84|
|MuSR (0-shot)      |     9.07|
|MMLU-PRO (5-shot)  |    33.33|