Below are comparisons with baseline models and baseline methods.
Left is for fine-tuning 1.5B model and right is for fine-tuning 7B model. Grey lines represent the base model performance before finetuning, with generation length of 4698 for 1.5B model and 4119 for 7B model. Squares denote models trained with reference methods without length penalties (i.e., $\lambda$=+$\infty$ for DRPO, $\alpha=0$ for RLOO-LP, $\beta=0$ for ALP, $w=0$ for HAPO). Triangles denote the models trained by other works.
Runs of ganglii DRPO-7B on huggingface.co
35
Total runs
0
24-hour runs
-2
3-day runs
-13
7-day runs
-265
30-day runs
More Information About DRPO-7B huggingface.co Model
DRPO-7B huggingface.co
DRPO-7B huggingface.co is an AI model on huggingface.co that provides DRPO-7B's model effect (), which can be used instantly with this ganglii DRPO-7B model. huggingface.co supports a free trial of the DRPO-7B model, and also provides paid use of the DRPO-7B. Support call DRPO-7B model through api, including Node.js, Python, http.
DRPO-7B huggingface.co is an online trial and call api platform, which integrates DRPO-7B's modeling effects, including api services, and provides a free online trial of DRPO-7B, you can try DRPO-7B online for free by clicking the link below.
ganglii DRPO-7B online free url in huggingface.co:
DRPO-7B is an open source model from GitHub that offers a free installation service, and any user can find DRPO-7B on GitHub to install. At the same time, huggingface.co provides the effect of DRPO-7B install, users can directly use DRPO-7B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.