metadata
license: cc-by-nc-4.0
model-index:
- name: Kunoichi-DPO-v2-7B
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: 69.62
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-v2-7B
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: 87.44
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-v2-7B
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: 64.94
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-v2-7B
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: 66.06
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-v2-7B
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: 80.82
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-v2-7B
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: 65.88
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-v2-7B
name: Open LLM Leaderboard
Model | MT Bench | EQ Bench | MMLU | Logic Test |
---|---|---|---|---|
GPT-4-Turbo | 9.32 | - | - | - |
GPT-4 | 8.99 | 62.52 | 86.4 | 0.86 |
Kunoichi-DPO-v2-7B | 8.51 | 42.18 | 64.94 | 0.58 |
Mixtral-8x7B-Instruct | 8.30 | 44.81 | 70.6 | 0.75 |
Kunoichi-DPO-7B | 8.29 | 41.60 | 64.83 | 0.59 |
Kunoichi-7B | 8.14 | 44.32 | 64.9 | 0.58 |
Starling-7B | 8.09 | - | 63.9 | 0.51 |
Claude-2 | 8.06 | 52.14 | 78.5 | - |
Silicon-Maid-7B | 7.96 | 40.44 | 64.7 | 0.54 |
Loyal-Macaroni-Maid-7B | 7.95 | 38.66 | 64.9 | 0.57 |
GPT-3.5-Turbo | 7.94 | 50.28 | 70 | 0.57 |
Claude-1 | 7.9 | - | 77 | - |
Openchat-3.5 | 7.81 | 37.08 | 64.3 | 0.39 |
Dolphin-2.6-DPO | 7.74 | 42.88 | 61.9 | 0.53 |
Zephyr-7B-beta | 7.34 | 38.71 | 61.4 | 0.30 |
Llama-2-70b-chat-hf | 6.86 | 51.56 | 63 | - |
Neural-chat-7b-v3-1 | 6.84 | 43.61 | 62.4 | 0.30 |
Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
---|---|---|---|---|---|
Kunoichi-DPO-7B | 58.4 | 45.08 | 74 | 66.99 | 47.52 |
Kunoichi-DPO-v2-7B | 58.31 | 44.85 | 75.05 | 65.69 | 47.65 |
Kunoichi-7B | 57.54 | 44.99 | 74.86 | 63.72 | 46.58 |
OpenPipe/mistral-ft-optimized-1218 | 56.85 | 44.74 | 75.6 | 59.89 | 47.17 |
Silicon-Maid-7B | 56.45 | 44.74 | 74.26 | 61.5 | 45.32 |
mlabonne/NeuralHermes-2.5-Mistral-7B | 53.51 | 43.67 | 73.24 | 55.37 | 41.76 |
teknium/OpenHermes-2.5-Mistral-7B | 52.42 | 42.75 | 72.99 | 52.99 | 40.94 |
openchat/openchat_3.5 | 51.34 | 42.67 | 72.92 | 47.27 | 42.51 |
berkeley-nest/Starling-LM-7B-alpha | 51.16 | 42.06 | 72.72 | 47.33 | 42.53 |
HuggingFaceH4/zephyr-7b-beta | 50.99 | 37.33 | 71.83 | 55.1 | 39.7 |
Model | AlpacaEval2 | Length |
---|---|---|
GPT-4 | 23.58% | 1365 |
GPT-4 0314 | 22.07% | 1371 |
Mistral Medium | 21.86% | 1500 |
Mixtral 8x7B v0.1 | 18.26% | 1465 |
Kunoichi-DPO-v2 | 17.19% | 1785 |
Claude 2 | 17.19% | 1069 |
Claude | 16.99% | 1082 |
Gemini Pro | 16.85% | 1315 |
GPT-4 0613 | 15.76% | 1140 |
Claude 2.1 | 15.73% | 1096 |
Mistral 7B v0.2 | 14.72% | 1676 |
GPT 3.5 Turbo 0613 | 14.13% | 1328 |
LLaMA2 Chat 70B | 13.87% | 1790 |
LMCocktail-10.7B-v1 | 13.15% | 1203 |
WizardLM 13B V1.1 | 11.23% | 1525 |
Zephyr 7B Beta | 10.99% | 1444 |
OpenHermes-2.5-Mistral (7B) | 10.34% | 1107 |
GPT 3.5 Turbo 0301 | 9.62% | 827 |
Kunoichi-7B | 9.38% | 1492 |
GPT 3.5 Turbo 1106 | 9.18% | 796 |
GPT-3.5 | 8.56% | 1018 |
Phi-2 DPO | 7.76% | 1687 |
LLaMA2 Chat 13B | 7.70% | 1513 |
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 72.46 |
AI2 Reasoning Challenge (25-Shot) | 69.62 |
HellaSwag (10-Shot) | 87.44 |
MMLU (5-Shot) | 64.94 |
TruthfulQA (0-shot) | 66.06 |
Winogrande (5-shot) | 80.82 |
GSM8k (5-shot) | 65.88 |