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---
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|
|