README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- merge
- mergekit
- mistral
- MTSAIR/multi_verse_model
- ResplendentAI/Paradigm_7B
base_model:
- MTSAIR/multi_verse_model
- ResplendentAI/Paradigm_7B
model-index:
- name: Multiparadigm_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: 73.21
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 88.95
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 64.28
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 76.87
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 83.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 69.37
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
      name: Open LLM Leaderboard
---
<img src="https://cdn-uploads.huggingface.co/production/uploads/65ad2502043d53781aad2ee4/kmTOHCPDzyflcIrXPzgT5.png" alt="image" width="540" height="540" style="margin-bottom: 30px;">

# 🌠 Multiparadigm_7B
Multiparadigm_7B is a merge of the following models:
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [ResplendentAI/Paradigm_7B](https://huggingface.co/ResplendentAI/Paradigm_7B)

# Configuration
```yaml
slices:
  - sources:
      - model: MTSAIR/multi_verse_model
        layer_range: [0, 32]
      - model: ResplendentAI/Paradigm_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: MTSAIR/multi_verse_model
parameters:
  t:
    - filter: self_attn
      value: [0, 0.6, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.6, 0.7, 0.3, 0]
    - value: 0.6
dtype: bfloat16
```
# [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_rmdhirr__Multiparadigm_7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |76.08|
|AI2 Reasoning Challenge (25-Shot)|73.21|
|HellaSwag (10-Shot)              |88.95|
|MMLU (5-Shot)                    |64.28|
|TruthfulQA (0-shot)              |76.87|
|Winogrande (5-shot)              |83.82|
|GSM8k (5-shot)                   |69.37|