---
language:
- en
license: apache-2.0
model-index:
- name: flux-base-optimized
  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: 65.44
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chanwit/flux-base-optimized
      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: 81.74
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chanwit/flux-base-optimized
      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: 59.74
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chanwit/flux-base-optimized
      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: 50.02
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chanwit/flux-base-optimized
      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: 77.74
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chanwit/flux-base-optimized
      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: 44.66
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chanwit/flux-base-optimized
      name: Open LLM Leaderboard
---

# Flux-Base-Optimized

`flux-base-optimized` is the base model for finetuning the series of `flux-7b` models.
It is hierarchical SLERP merged from the following models

  * mistralai/Mistral-7B-v0.1 (Apache 2.0)
  * teknium/OpenHermes-2.5-Mistral-7B (Apache 2.0)
  * Intel/neural-chat-7b-v3-3 (Apache 2.0)
  * meta-math/MetaMath-Mistral-7B (Apache 2.0)
  * openchat/openchat-3.5-0106 was openchat/openchat-3.5-1210 (Apache 2.0)

Here's how we did the hierarchical SLERP merge.
```
                [flux-base-optimized]
                         ↑
                         |
               [stage-1]-+-[openchat]
                   ↑
                   |
         [stage-0]-+-[meta-math]
             ↑
             |
[openhermes]-+-[neural-chat]
```


# [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_chanwit__flux-base-optimized)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |63.22|
|AI2 Reasoning Challenge (25-Shot)|65.44|
|HellaSwag (10-Shot)              |81.74|
|MMLU (5-Shot)                    |59.74|
|TruthfulQA (0-shot)              |50.02|
|Winogrande (5-shot)              |77.74|
|GSM8k (5-shot)                   |44.66|