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---
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|
|