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ModelHub XC 53f5c8f4f2 初始化项目,由ModelHub XC社区提供模型
Model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
Source: Original Platform
2026-05-06 21:58:44 +08:00

6.1 KiB

license, model-index, library_name
license model-index library_name
llama3
name results
Llama-3.1-8B-ArliAI-RPMax-v1.1
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 63.59 strict accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 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 28.79 normalized accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 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 11.33 exact match
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 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 4.47 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 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 5.31 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 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 28.35 accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 Open LLM Leaderboard
transformers

Llama-3.1-8B-ArliAI-RPMax-v1.1

=====================================

RPMax Series Overview

| 2B | 3.8B | 8B | 9B | 12B | 20B | 22B | 70B |

RPMax is a series of models that are trained on a diverse set of curated creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.

Early tests by users mentioned that these models does not feel like any other RP models, having a different style and generally doesn't feel in-bred.

You can access the model at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/

We also have a models ranking page at https://www.arliai.com/models-ranking

Ask questions in our new Discord Server! https://discord.com/invite/t75KbPgwhk

Model Description

Llama-3.1-8B-ArliAI-RPMax-v1.1 is a variant of the Meta-Llama-3.1-8B model.

v1.1 is just a small fix to not train and save the embeddings layer and small changes to the dataset, since v1.0 had the lm_head unnecessarily trained on accident.

Training Details

  • Sequence Length: 8192
  • Training Duration: Approximately 1 day on 2x3090Ti
  • Epochs: 1 epoch training for minimized repetition sickness
  • LORA: 64-rank 128-alpha, resulting in ~2% trainable weights
  • Learning Rate: 0.00001
  • Gradient accumulation: Very low 32 for better learning.

Quantization

The model is available in quantized formats:

We recommend using full weights or GPTQ

Suggested Prompt Format

Llama 3 Instruct Format

Example:

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are [character]. You have a personality of [personality description]. [Describe scenario]<|eot_id|><|start_header_id|>user<|end_header_id|>

{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>

{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 23.64
IFEval (0-Shot) 63.59
BBH (3-Shot) 28.79
MATH Lvl 5 (4-Shot) 11.33
GPQA (0-shot) 4.47
MuSR (0-shot) 5.31
MMLU-PRO (5-shot) 28.35