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nanowm-l2-csgo-50k
knightnemo/nanowm-l2-csgo-50k
nanowm-l2-csgo-50k is a machine learning model from knightnemo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
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.safetensors2.2 GB · 100%
At a glance
- Library
- pytorch
- Access
- Public
- Created
- Apr 29, 2026
- Updated
- Apr 29, 2026
- SHA
- 6599c158
Model card
From the Hugging Face model README
NanoWM-L/2 · csgo · NanoWM-L/2 on CSGO
NanoWM-L/2 on CSGO (50k steps)
Run identity
- wandb: https://wandb.ai/better_guidance/nano-world-model-phase2/runs/cosr7ivu
- launcher:
src/scripts/train/main/csgo.sh - collection: https://huggingface.co/collections/knightnemo/nano-world-model
Training setup
| Key | Value |
|---|---|
| Architecture | NanoWM-L/2 |
| Dataset | csgo |
| Prediction | v |
| Noise schedule | squaredcos_cap_v2 (ZTSNR=True) |
| Steps | 50000 |
| Batch | 6/GPU |
Loading
import sys
from omegaconf import OmegaConf
from safetensors.torch import load_file
sys.path.insert(0, "src")
from models import get_models
cfg = OmegaConf.load("ckpt/config.yaml")
cfg.experiment.infra.compile = False
model = get_models(cfg).eval()
state_dict = load_file("ckpt/model.safetensors")
model.load_state_dict(state_dict, strict=True)
- Library
- pytorch
- Created
- Apr 29, 2026
- Updated
- Apr 29, 2026