README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- elinas/Chronos-Gold-12B-1.0
- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
- nbeerbower/Mistral-Nemo-Prism-12B
model-index:
- name: Chronos-Prism_V1.0
  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: 32.59
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
      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: 36.58
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
      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: 11.63
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
      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: 7.94
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
      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: 14.28
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
      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: 29.7
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
      name: Open LLM Leaderboard
---
Model details:
-

![image/webp](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/obRjltZGWzWfiU-u-MMRL.webp)

This is definately not perfect, but it does feel pretty close.

Feedback is welcome, as always.

---
# 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [nbeerbower/Mistral-Nemo-Prism-12B](https://huggingface.co/nbeerbower/Mistral-Nemo-Prism-12B) as a base.

### Models Merged

The following models were included in the merge:
* [elinas/Chronos-Gold-12B-1.0](https://huggingface.co/elinas/Chronos-Gold-12B-1.0)
* [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nbeerbower/Mistral-Nemo-Prism-12B
    #no parameters necessary for base model
  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
    parameters:
      density: 0.5
      weight: 0.5
  - model: elinas/Chronos-Gold-12B-1.0
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: nbeerbower/Mistral-Nemo-Prism-12B
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```

# [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/Triangle104__Chronos-Prism_V1.0-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |22.12|
|IFEval (0-Shot)    |32.59|
|BBH (3-Shot)       |36.58|
|MATH Lvl 5 (4-Shot)|11.63|
|GPQA (0-shot)      | 7.94|
|MuSR (0-shot)      |14.28|
|MMLU-PRO (5-shot)  |29.70|