---
language:
- en
license: apache-2.0
model-index:
- name: mhm-7b-v1.3-DPO-1
  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: 49.57
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=h2m/mhm-7b-v1.3-DPO-1
      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: 68.1
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=h2m/mhm-7b-v1.3-DPO-1
      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: 45.76
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=h2m/mhm-7b-v1.3-DPO-1
      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: 45.88
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=h2m/mhm-7b-v1.3-DPO-1
      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: 62.04
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=h2m/mhm-7b-v1.3-DPO-1
      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: 15.24
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=h2m/mhm-7b-v1.3-DPO-1
      name: Open LLM Leaderboard
---

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/ORVjYrpzyfKfP4ByOQnpQ.jpeg)

A DPO fine tuned [mhm-7b-v1.3](https://huggingface.co/h2m/mhm-7b-v1.3) on [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs)

Based upon mistral. Created using [dare_ties](https://github.com/cg123/mergekit) and models from openllm leaderboard. Over 3 merges involving 7 different models, this was the result.

Just an experiment.
# [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_h2m__mhm-7b-v1.3-DPO-1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |47.77|
|AI2 Reasoning Challenge (25-Shot)|49.57|
|HellaSwag (10-Shot)              |68.10|
|MMLU (5-Shot)                    |45.76|
|TruthfulQA (0-shot)              |45.88|
|Winogrande (5-shot)              |62.04|
|GSM8k (5-shot)                   |15.24|