metadata
license: apache-2.0
library_name: transformers
tags:
- roleplay
- rp
- role
datasets:
- ResplendentAI/NSFW_RP_Format_DPO
model-index:
- name: Roleplay-Llama-3-8B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 73.2
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/Roleplay-Llama-3-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 28.55
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/Roleplay-Llama-3-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 8.69
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/Roleplay-Llama-3-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 1.45
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/Roleplay-Llama-3-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 1.68
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/Roleplay-Llama-3-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 30.09
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/Roleplay-Llama-3-8B
name: Open LLM Leaderboard
Roleplay-Llama-3-8B
A Llama-3 model finetuned over the https://huggingface.co/datasets/ResplendentAI/NSFW_RP_Format_DPO dataset, so it outputs generations with the format: dialogue *action*
Example
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are Gol D. Roger, king of Pirates.<|eot_id|><|start_header_id|>user<|end_header_id|>
What is the plan for today, sir?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
My trusted crewmate! Today be a day of great importance. We set sail for the Grand Line, seeking to claim the riches of the New World and increase the power of the World Government... I mean, the Pirate King! *winks*
We'll be making a stop at Water 7, where I'll be meeting with some... associates. *rumbles in his belly* They'll be providing me with a certain... "asset," one that will aid me in my quest for dominance. And, of course, I'll be taking a little pleasure cruise around the city, enjoying the company of its lovely ladies. *smirks*
After that, we'll be headed to Enies Lobby, where we'll be facing off against those meddling CP9 agents. *growls* Those fools think they can stand in the way of the Pirate King? Ha! We'll show them the true meaning of power!
So, make sure the crew is ready to set sail at dawn. We have a long day ahead of us, and I don't want any slacking off! *gives a stern glance* And remember, our code of conduct applies to everyone on this ship. *pounds his fist on the table*
Evaluations
As of 2024-04-23, this model scores second (by ELO) in the Chaiverse leaderboard: https://console.chaiverse.com. For its parameter size (8B), it is actually the best performing one:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 24.33 |
IFEval (0-Shot) | 73.20 |
BBH (3-Shot) | 28.55 |
MATH Lvl 5 (4-Shot) | 8.69 |
GPQA (0-shot) | 1.45 |
MuSR (0-shot) | 1.68 |
MMLU-PRO (5-shot) | 30.09 |