---
license: cc-by-nc-4.0
tags:
- merge
model-index:
- name: Lonepino-11B
  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: 68.26
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B
      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: 84.57
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B
      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: 63.76
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B
      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: 63.45
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B
      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: 78.93
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B
      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: 61.64
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B
      name: Open LLM Leaderboard
---

## Description

This repo contains bf16 files of Lonepino-11B. Just a normal model.

## Model used

- [Intel/neural-chat-7b-v3-3-Slerp](https://huggingface.co/Intel/neural-chat-7b-v3-3-Slerp)
- [NeverSleep/Noromaid-7b-v0.2](https://huggingface.co/NeverSleep/Noromaid-7b-v0.2)
- [chargoddard/loyal-piano-m7-cdpo](https://huggingface.co/chargoddard/loyal-piano-m7-cdpo)
- [maywell/PiVoT-0.1-Starling-LM-RP](https://huggingface.co/maywell/PiVoT-0.1-Starling-LM-RP)

## The secret sauce

neural-maid-11B:
```
slices:
  - sources:
    - model: Intel/neural-chat-7b-v3-3-Slerp
      layer_range: [0, 24]
  - sources:
    - model: NeverSleep/Noromaid-7b-v0.2
      layer_range: [8, 32]

merge_method: passthrough
dtype: bfloat16
```

loyal-PiVoT-11B:
```
slices:
  - sources:
    - model: chargoddard/loyal-piano-m7-cdpo
      layer_range: [0, 24]
  - sources:
    - model: maywell/PiVoT-0.1-Starling-LM-RP
      layer_range: [8, 32]

merge_method: passthrough
dtype: bfloat16
```

Lonepino-11B:
```
slices:
  - sources:
      - model: "./neural-maid-11B"
        layer_range: [0, 48]
      - model: "./loyal-PiVoT-11B"
        layer_range: [0, 48]
merge_method: slerp
base_model: "./neural-maid-11B"
parameters:
  t:
    - value: 0.4
dtype: bfloat16
```

## Prompt template

Alpaca. Or chatml. Or any you like. 

=w=

I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here.

Thanks to the [Undi95](https://huggingface.co/Undi95) for the original [11B mistral merge](https://huggingface.co/Undi95/Mistral-11B-OmniMix) recipe.

# [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_beberik__Lonepino-11B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.10|
|AI2 Reasoning Challenge (25-Shot)|68.26|
|HellaSwag (10-Shot)              |84.57|
|MMLU (5-Shot)                    |63.76|
|TruthfulQA (0-shot)              |63.45|
|Winogrande (5-shot)              |78.93|
|GSM8k (5-shot)                   |61.64|