Megatron-Opus-14B-Stock/README.md

---
base_model:
- prithivMLmods/Primal-Opus-14B-Optimus-v1
- prithivMLmods/Megatron-Opus-14B-Exp
- prithivMLmods/Calcium-Opus-14B-Elite2-R1
library_name: transformers
tags:
- mergekit
- merge
model-index:
- name: Megatron-Opus-14B-Stock
  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: 51.74
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FMegatron-Opus-14B-Stock
      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: 48.13
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FMegatron-Opus-14B-Stock
      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: 32.78
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FMegatron-Opus-14B-Stock
      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: 16.67
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FMegatron-Opus-14B-Stock
      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: 20.19
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FMegatron-Opus-14B-Stock
      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: 47.7
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FMegatron-Opus-14B-Stock
      name: Open LLM Leaderboard
---
# **Megatron-Opus-14B-Stock**
[ Megatron+Primal+Elite2 ] is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. It has been fine-tuned on a Synthetic dataset entries based on one half of Qwen’s QWQ and DeepSeek R1, further optimizing its chain-of-thought (CoT) reasoning and logical problem-solving abilities. The model demonstrates significant improvements in context understanding, structured data processing, and long-context comprehension, making it ideal for complex reasoning tasks, instruction-following, and text generation. 
# merge

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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [prithivMLmods/Megatron-Opus-14B-Exp](https://huggingface.co/prithivMLmods/Megatron-Opus-14B-Exp) as a base.

### Models Merged

The following models were included in the merge:
* [prithivMLmods/Primal-Opus-14B-Optimus-v1](https://huggingface.co/prithivMLmods/Primal-Opus-14B-Optimus-v1)
* [prithivMLmods/Calcium-Opus-14B-Elite2-R1](https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Elite2-R1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method:        model_stock
base_model:          prithivMLmods/Megatron-Opus-14B-Exp
tokenizer_source:    base
dtype:               bfloat16
out_dtype:           bfloat16
parameters:
  int8_mask:         true
  normalize:         true
  rescale:           false
models:
  - model:           prithivMLmods/Megatron-Opus-14B-Exp
  - model:           prithivMLmods/Primal-Opus-14B-Optimus-v1
  - model:           prithivMLmods/Calcium-Opus-14B-Elite2-R1
```

# [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/prithivMLmods__Megatron-Opus-14B-Stock-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=prithivMLmods%2FMegatron-Opus-14B-Stock&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    36.20|
|IFEval (0-Shot)    |    51.74|
|BBH (3-Shot)       |    48.13|
|MATH Lvl 5 (4-Shot)|    32.78|
|GPQA (0-shot)      |    16.67|
|MuSR (0-shot)      |    20.19|
|MMLU-PRO (5-shot)  |    47.70|