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---
license: apache-2.0
datasets:
- openagi-project/OpenAGI-set-dpo-v0.1
base_model: freecs/ThetaWave-7B-v0.1
model-index:
- name: OpenAGI-7B-v0.1
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: 66.72
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=openagi-project/OpenAGI-7B-v0.1
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: 86.13
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=openagi-project/OpenAGI-7B-v0.1
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: 63.53
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=openagi-project/OpenAGI-7B-v0.1
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: 69.55
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=openagi-project/OpenAGI-7B-v0.1
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: 79.48
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=openagi-project/OpenAGI-7B-v0.1
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: 56.63
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=openagi-project/OpenAGI-7B-v0.1
name: Open LLM Leaderboard
---
# OpenAGI-7B-v0.1
DPO tuned on a small set of GPT4 generated responses.
Give it a try:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto
model = AutoModelForCausalLM.from_pretrained("openagi-project/OpenAGI-7B-v0.1")
tokenizer = AutoTokenizer.from_pretrained("openagi-project/OpenAGI-7B-v0.1")
messages = [
{"role": "user", "content": "Who are you?"},
]
encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
model_inputs = encodeds.to(device)
model.to(device)
generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])
```
*" My goal as the founder of FreeCS.org is to establish an Open-Source AI Research Lab driven by its Community. Currently, I am the sole contributor at FreeCS.org. If you share our vision, we welcome you to join our community and contribute to our mission at [freecs.org/#community](https://freecs.org/#community). "*
|- [GR](https://twitter.com/gr_username)
If you'd like to support this project, kindly consider making a [donation](https://freecs.org/donate).
# [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_openagi-project__OpenAGI-7B-v0.1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |70.34|
|AI2 Reasoning Challenge (25-Shot)|66.72|
|HellaSwag (10-Shot) |86.13|
|MMLU (5-Shot) |63.53|
|TruthfulQA (0-shot) |69.55|
|Winogrande (5-shot) |79.48|
|GSM8k (5-shot) |56.63|
|