language, license, library_name, tags, base_model, pipeline_tag, model-index

language	license	library_name	tags	base_model	pipeline_tag	model-index
zho eng fra spa por deu ita rus jpn kor vie tha ara	apache-2.0	transformers	role-play fine-tuned qwen2.5	Qwen/Qwen2.5-14B-Instruct	text-generation	name results oxy-1-small task dataset metrics source type name text-generation Text Generation name type args IFEval (0-Shot) HuggingFaceH4/ifeval num_few_shot 0 type value name inst_level_strict_acc and prompt_level_strict_acc 62.45 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=oxyapi/oxy-1-small Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args BBH (3-Shot) BBH num_few_shot 3 type value name acc_norm 41.18 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=oxyapi/oxy-1-small Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MATH Lvl 5 (4-Shot) hendrycks/competition_math num_few_shot 4 type value name exact_match 18.28 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=oxyapi/oxy-1-small Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args GPQA (0-shot) Idavidrein/gpqa num_few_shot 0 type value name acc_norm 16.22 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=oxyapi/oxy-1-small Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MuSR (0-shot) TAUR-Lab/MuSR num_few_shot 0 type value name acc_norm 16.28 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=oxyapi/oxy-1-small Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test num_few_shot 5 type value name acc 44.45 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=oxyapi/oxy-1-small Open LLM Leaderboard

Introduction

Oxy 1 Small is a fine-tuned version of the Qwen/Qwen2.5-14B-Instruct language model, specialized for role-play scenarios. Despite its small size, it delivers impressive performance in generating engaging dialogues and interactive storytelling.

Developed by Oxygen (oxyapi), with contributions from TornadoSoftwares, Oxy 1 Small aims to provide an accessible and efficient language model for creative and immersive role-play experiences.

Model Details

• Model Name: Oxy 1 Small
• Model ID: oxyapi/oxy-1-small
• Base Model: Qwen/Qwen2.5-14B-Instruct
• Model Type: Chat Completions
• Prompt Format: ChatML
• License: Apache-2.0
• Language: English
• Tokenizer: Qwen/Qwen2.5-14B-Instruct
• Max Input Tokens: 32,768
• Max Output Tokens: 8,192

Features

• Fine-tuned for Role-Play: Specially trained to generate dynamic and contextually rich role-play dialogues.
• Efficient: Compact model size allows for faster inference and reduced computational resources.
• Parameter Support:
  • temperature
  • top_p
  • top_k
  • frequency_penalty
  • presence_penalty
  • max_tokens

Metadata

• Owned by: Oxygen (oxyapi)
• Contributors: TornadoSoftwares
• Description: A Qwen/Qwen2.5-14B-Instruct fine-tune for role-play trained on custom datasets

Usage

To utilize Oxy 1 Small for text generation in role-play scenarios, you can load the model using the Hugging Face Transformers library:

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("oxyapi/oxy-1-small")
model = AutoModelForCausalLM.from_pretrained("oxyapi/oxy-1-small")

prompt = "You are a wise old wizard in a mystical land. A traveler approaches you seeking advice."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=500)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Performance

Performance benchmarks for Oxy 1 Small are not available at this time. Future updates may include detailed evaluations on relevant datasets.

License

This model is licensed under the Apache 2.0 License.

Citation

If you find Oxy 1 Small useful in your research or applications, please cite it as:

@misc{oxy1small2024,
  title={Oxy 1 Small: A Fine-Tuned Qwen2.5-14B-Instruct Model for Role-Play},
  author={Oxygen (oxyapi)},
  year={2024},
  howpublished={\url{https://huggingface.co/oxyapi/oxy-1-small}},
}

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	33.14
IFEval (0-Shot)	62.45
BBH (3-Shot)	41.18
MATH Lvl 5 (4-Shot)	18.28
GPQA (0-shot)	16.22
MuSR (0-shot)	16.28
MMLU-PRO (5-shot)	44.45