license: other
datasets:
- euclaise/MiniCoT
- euclaise/SciCoT
- euclaise/symtune_mini
- euclaise/mathoverflow-accepted
- euirim/goodwiki
model-index:
- name: Ferret-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: 62.29
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=euclaise/Ferret-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: 81.31
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=euclaise/Ferret-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: 60.27
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=euclaise/Ferret-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: 40.01
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=euclaise/Ferret-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: 77.66
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=euclaise/Ferret-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: 2.05
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=euclaise/Ferret-7B
name: Open LLM Leaderboard
A pre-finetuning finetuned version of Mistral 7B 0.1, focused on CoT reasoning tasks.
Probably decent at reasoning, but also probably not great as a chat assistant- it's designed to be finetuned further to give it a friendlier style. As such, it is intentionally somewhat undertrained.
Current benchmarks aren't great for instruct models, so I've temporarily omitted them. I'm working on a benchmark suite for instruct models though, and will update this with scores when that is released.
Uses ChatML prompt formatting.
I reserve no rights to the model. To the extent possible under law, I release it as public domain. However, the datasets used have various licenses that may impact how the model may be used in your jurisdiction.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 53.93 |
| AI2 Reasoning Challenge (25-Shot) | 62.29 |
| HellaSwag (10-Shot) | 81.31 |
| MMLU (5-Shot) | 60.27 |
| TruthfulQA (0-shot) | 40.01 |
| Winogrande (5-shot) | 77.66 |
| GSM8k (5-shot) | 2.05 |