---
license: cc-by-nc-4.0
tags:
- merge
- mergekit
datasets:
- pankajmathur/orca_mini_v1_dataset
- openai/summarize_from_feedback
- PygmalionAI/PIPPA
- chargoddard/rpguild
- lemonilia/LimaRP
- PKU-Alignment/PKU-SafeRLHF
- Intel/orca_dpo_pairs
- allenai/ultrafeedback_binarized_cleaned
model-index:
- name: piano-medley-7b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 67.58
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/piano-medley-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 85.36
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/piano-medley-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 64.49
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/piano-medley-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 61.42
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/piano-medley-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 79.16
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/piano-medley-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 56.56
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/piano-medley-7b
      name: Open LLM Leaderboard
---

Another experiment in the line of [loyal-piano-m7](https://huggingface.co/chargoddard/loyal-piano-m7).

Steps taken to produce this model:

* Train loyal-piano-m7
* cDPO with HuggingFaceH4/ultrafeedback_binarized to produce loyal-piano-m7-cdpo
* Train another model with different sampling of the same source datasets as loyal-piano, let's call it servile-harpsichord
* cDPO servile-harpsichord with allenai/ultrafeedback_binarized_cleaned, Intel/orca_dpo_pairs, and a helpfulness-only version of PKU-Alignment/PKU-SafeRLHF
* TIES merge several checkpoints of servile-harpsichord-cdpo with loyal-piano-m7-cdpo

Local benchmarks show the result to be better than any of the individual components. Let's see if that holds up!

Trained using the Alpaca prompt format.


Configuration for final merge:
```yml
models:
  - model: chargoddard/loyal-piano-m7-cdpo
    parameters:
      density: 1.0
      weight: 1.0
  - model: /home/ubuntu/servile-harpsichord-cdpo/checkpoint-4186
    parameters:
      weight: 0.1
  - model: /home/ubuntu/servile-harpsichord-cdpo/checkpoint-5796
    parameters:
      weight: 0.2
  - model: /home/ubuntu/servile-harpsichord-cdpo/checkpoint-6118
    parameters:
      weight: 0.3
  - model: /home/ubuntu/servile-harpsichord-cdpo/final
    parameters:
      weight: 0.4
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16
parameters:
  density: 0.4
  normalize: true
  int8_mask: true
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_chargoddard__piano-medley-7b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |69.10|
|AI2 Reasoning Challenge (25-Shot)|67.58|
|HellaSwag (10-Shot)              |85.36|
|MMLU (5-Shot)                    |64.49|
|TruthfulQA (0-shot)              |61.42|
|Winogrande (5-shot)              |79.16|
|GSM8k (5-shot)                   |56.56|