Downloads · 30 days
5
14% of all-time downloads
MooreMuaMu/ancient-rl-grpo-pilot3-step100
ancient-rl-grpo-pilot3-step100 is a machine learning model from MooreMuaMu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Downloads · 30 days
5
14% of all-time downloads
All-time downloads
36
Public
Parameters
14.8B
29.5 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors29.5 GB · 100%
From the Hugging Face model README
翻译任务最优 checkpoint:4 个翻译 bucket 全部涨点。
与 pilot3-step50 相同的 10 个 bucket:
总训练数据: 60,606 samples
| Bucket | Baseline | This Model | Δ |
|---|---|---|---|
| zhuang / segmentation | 66.67 | 67.91 | +1.24pp |
| classical_chinese / translation | 42.04 | 42.68 | +0.64pp |
| tangut / translation | 42.09 | 42.63 | +0.54pp |
| traditional_mongolian / annotation | 57.04 | 58.43 | +1.39pp |
| traditional_mongolian / translation | 29.42 | 30.27 | +0.85pp |
| uyghur / restoration | 87.58 | 84.73 | -2.85pp |
| tangut / segmentation | 81.74 | 81.36 | -0.38pp |
| manchu / annotation | 65.44 | 63.93 | -1.51pp |
| tibetan / annotation | 57.73 | 56.65 | -1.08pp |
| zhuang / translation | 51.23 | 50.53 | -0.70pp |
最佳用途: 翻译类任务(文言文、传统蒙古文、西夏文翻译)
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("MooreMuaMu/ancient-rl-grpo-pilot3-step100", torch_dtype="bfloat16", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("MooreMuaMu/ancient-rl-grpo-pilot3-step100")