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Model: prithivMLmods/Megatron-Opus-14B-Stock Source: Original Platform
2026-07-19 07:39:08 +08:00
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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|
+