README.md

---
language:
- en
license: apache-2.0
tags:
- merge
model-index:
- name: v1olet_marcoroni-go-bruins-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: 29.1
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-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: 28.3
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-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: 25.09
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-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: 0.0
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-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: 52.09
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-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: 0.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_marcoroni-go-bruins-7B
      name: Open LLM Leaderboard
---

### 12th December 2023

We are ranked *6th* on the overall leaderboard and **1st** in the 7B leaderboard! 🔥🔥🔥

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c06fba8d1175e3399c16e6/LbOzm-1EEBaSv4O1pssyh.png)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c06fba8d1175e3399c16e6/Cv5x7rRuM46AlliFdoC_B.png)

Merge AIDC-ai-business/Marcoroni-7B-v3 and rwitz/go-bruins-v2 using slerp merge from https://github.com/cg123/mergekit.

*config.yaml*
```
slices:
  - sources:
      - model: AIDC-ai-business/Marcoroni-7B-v3
        layer_range: [0, 32]
      - model: rwitz/go-bruins-v2
        layer_range: [0, 32]
merge_method: slerp
base_model: AIDC-ai-business/Marcoroni-7B-v3
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5 
dtype: float16
```

You can use alpaca template.
```
template_format = """{system}
### Instruction:
{prompt}

### Response:
"""
```

Developed by: Trong-Hieu Nguyen-Mau
# [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_v1olet__v1olet_marcoroni-go-bruins-7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |22.43|
|AI2 Reasoning Challenge (25-Shot)|29.10|
|HellaSwag (10-Shot)              |28.30|
|MMLU (5-Shot)                    |25.09|
|TruthfulQA (0-shot)              | 0.00|
|Winogrande (5-shot)              |52.09|
|GSM8k (5-shot)                   | 0.00|