metadata
language:
- en
license: apache-2.0
model-index:
- name: WestSeverus-7B-DPO-v2
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: 71.42
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FelixChao/WestSeverus-7B-DPO-v2
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: 88.27
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FelixChao/WestSeverus-7B-DPO-v2
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: 64.79
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FelixChao/WestSeverus-7B-DPO-v2
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: 72.37
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FelixChao/WestSeverus-7B-DPO-v2
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: 83.27
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FelixChao/WestSeverus-7B-DPO-v2
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: 71.65
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FelixChao/WestSeverus-7B-DPO-v2
name: Open LLM Leaderboard
WestSeverus - 7B - DPO - v2
☘️ Model Description
WestSeverus-7B-DPO-v2 is a WestLake Family model trained over WestSeverus-7B.
The model was trained on several dpo datasets and it can perform well on basic math problem.
WestSeverus-7B-DPO-v2 can be used in mathematics, chemical, physics and even coding for further research and reference.
📖 Table of Contents
-
- AGIEval
- GPT4All
- TruthfulQA Scores
- BigBench
-
- ARC
- HellaSwag
- MMLU
- TruthfulQA
- Winogrande
- GSM8K
-
- HumanEval
- HumanEval_Plus
- MBPP
- MBPP_Plus
🪄 Nous Benchmark Results
WestSeverus-7B-DPO-v2 is currently on the top of the YALL - Yet Another LLM Leaderboard created by CultriX and it outperforms on TruthfulQA Scores and BigBench.
| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
|---|---|---|---|---|---|
| WestSeverus-7B-DPO-v2 | 60.98 | 45.29 | 77.2 | 72.72 | 48.71 |
| CultriX/Wernicke-7B-v1 | 60.73 | 45.59 | 77.36 | 71.46 | 48.49 |
| mlabonne/NeuralBeagle14-7B | 60.25 | 46.06 | 76.77 | 70.32 | 47.86 |
| CultriX/MistralTrix-v1 | 60.05 | 44.98 | 76.62 | 71.44 | 47.17 |
| senseable/WestLake-7B-v2 | 59.42 | 44.27 | 77.86 | 67.46 | 48.09 |
| mlabonne/Daredevil-7B | 58.22 | 44.85 | 76.07 | 64.89 | 47.07 |
| microsoft/phi-2 | 44.61 | 27.96 | 70.84 | 44.46 | 35.17 |
🏆 Open LLM Leaderboard
WestSeverus-7B-DPO-v2 is one of the top 7B model in Open LLM Leaderboard and it outperforms on TruthfulQA and GSM8K.
| Metric | Value |
|---|---|
| Avg. | 75.29 |
| AI2 Reasoning Challenge (25-Shot) | 71.42 |
| HellaSwag (10-Shot) | 88.27 |
| MMLU (5-Shot) | 64.79 |
| TruthfulQA (0-shot) | 72.37 |
| Winogrande (5-shot) | 83.27 |
| GSM8k (5-shot) | 71.65 |
Detailed results can be found here
⚡ EvalPlus Leaderboard
| Model | HumanEval | HumanEval_Plus | MBPP | MBPP_Plus |
|---|---|---|---|---|
| phi-2-2.7B | 48.2 | 43.3 | 61.9 | 51.4 |
| WestSeverus-7B-DPO-v2 | 43.3 | 34.1 | TBD | TBD |
| SOLAR-10.7B-Instruct-v1.0 | 42.1 | 34.3 | 42.9 | 34.6 |
| CodeLlama-7B | 37.8 | 34.1 | 57.6 | 45.4 |
⚗️ Prompt Format
WestSeverus-7B-DPO-v2 was trained using the ChatML prompt templates with system prompts. An example follows below:
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
🛠️ Quantized Models
Another version of WestSeverus Model:
GGUF: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GGUF
GPTQ: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GPTQ
MaziyarPanahi/WestSeverus-7B-DPO-v2-GGUF
🙏 Gratitude
- Thanks to @senseable for senseable/WestLake-7B-v2.
- Thanks to @jondurbin for jondurbin/truthy-dpo-v0.1 dataset.
- Thanks to @Charles Goddard for MergeKit.
- Thanks to @TheBloke, @s3nh, @MaziyarPanahi for Quantized Models.
- Thanks to @mlabonne, @CultriX for YALL - Yet Another LLM Leaderboard.
- Thank you to all the other people in the Open Source AI community who utilized this model for further research and improvement.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.29 |
| AI2 Reasoning Challenge (25-Shot) | 71.42 |
| HellaSwag (10-Shot) | 88.27 |
| MMLU (5-Shot) | 64.79 |
| TruthfulQA (0-shot) | 72.37 |
| Winogrande (5-shot) | 83.27 |
| GSM8k (5-shot) | 71.65 |