---
language:
- en
- zh
license: apache-2.0
tags:
- RLHF
- PPO
- custom-research
base_model:
- sthenno/tempesthenno-14b-nuslerp-0111
- sthenno/tempesthenno-hs2-rm
datasets:
- nvidia/HelpSteer2
metrics:
- accuracy
model-index:
- name: tempesthenno-ppo-ckpt40
  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: 79.23
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-ppo-ckpt40
      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: 50.57
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-ppo-ckpt40
      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: 34.21
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-ppo-ckpt40
      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: 17.0
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-ppo-ckpt40
      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: 14.56
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-ppo-ckpt40
      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: 47.69
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-ppo-ckpt40
      name: Open LLM Leaderboard
---
# tempesthenno--nuslerp (BASE MODEL)

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the NuSLERP merge method.

### Models Merged

The following models were included in the merge:
* /Users/sthenno/models/tempesthenno--converge-dtask
* /Users/sthenno/models/tempesthenno--converge-breadcrumbs

### Configuration

The following YAML configuration was used to produce this model:

```yaml
name: tempesthenno--nuslerp
merge_method: nuslerp
tokenizer:
  source: /Users/sthenno/models/tempesthenno--converge-dtask
chat_template: "chatml"
dtype: float32
out_dtype: bfloat16
parameters:
  int8_mask: false
  normalize: true
  rescale: false
slices:
  - sources:
      - model: /Users/sthenno/models/tempesthenno--converge-dtask
        layer_range: [0, 8]
        parameters:
          weight: 0.65
          nuslerp_flatten: false
          nuslerp_row_wise: true
      - model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs
        layer_range: [0, 8]
        parameters:
          weight: 0.35
          nuslerp_flatten: false
          nuslerp_row_wise: true
  - sources:
      - model: /Users/sthenno/models/tempesthenno--converge-dtask
        layer_range: [8, 16]
        parameters:
          weight: 0.60
          nuslerp_flatten: false
          nuslerp_row_wise: true
      - model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs
        layer_range: [8, 16]
        parameters:
          weight: 0.40
          nuslerp_flatten: false
          nuslerp_row_wise: true
  - sources:
      - model: /Users/sthenno/models/tempesthenno--converge-dtask
        layer_range: [16, 24]
        parameters:
          weight: 0.55
          nuslerp_flatten: false
          nuslerp_row_wise: false
      - model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs
        layer_range: [16, 24]
        parameters:
          weight: 0.45
          nuslerp_flatten: false
          nuslerp_row_wise: false
  - sources:
      - model: /Users/sthenno/models/tempesthenno--converge-dtask
        layer_range: [24, 32]
        parameters:
          weight: 0.50
          nuslerp_flatten: false
          nuslerp_row_wise: false
      - model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs
        layer_range: [24, 32]
        parameters:
          weight: 0.50
          nuslerp_flatten: false
          nuslerp_row_wise: false
  - sources:
      - model: /Users/sthenno/models/tempesthenno--converge-dtask
        layer_range: [32, 40]
        parameters:
          weight: 0.45
          nuslerp_flatten: true
      - model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs
        layer_range: [32, 40]
        parameters:
          weight: 0.55
          nuslerp_flatten: true
  - sources:
      - model: /Users/sthenno/models/tempesthenno--converge-dtask
        layer_range: [40, 48]
        parameters:
          weight: 0.40
          nuslerp_flatten: true
      - model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs
        layer_range: [40, 48]
        parameters:
          weight: 0.60
          nuslerp_flatten: true

```
# [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/sthenno__tempesthenno-ppo-ckpt40-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |40.55|
|IFEval (0-Shot)    |79.23|
|BBH (3-Shot)       |50.57|
|MATH Lvl 5 (4-Shot)|34.21|
|GPQA (0-shot)      |17.00|
|MuSR (0-shot)      |14.56|
|MMLU-PRO (5-shot)  |47.69|