Reinforcement Learning
Transformers
Safetensors
qwen3
text-generation
sdpo
srpo
ema
text-generation-inference
Instructions to use SeongryongJung/qwen3-8b-physics-srpo-ema005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeongryongJung/qwen3-8b-physics-srpo-ema005 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SeongryongJung/qwen3-8b-physics-srpo-ema005") model = AutoModelForCausalLM.from_pretrained("SeongryongJung/qwen3-8b-physics-srpo-ema005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00003-of-00004.safetensors from SeongryongJung/qwen3-8b-physics-srpo-ema005: direct link, hf CLI and curl.
- Browser
- Download file 4.96 GB
-
https://huggingface.co/SeongryongJung/qwen3-8b-physics-srpo-ema005/resolve/main/model-00003-of-00004.safetensors
- Command line
-
hf download hf://SeongryongJung/qwen3-8b-physics-srpo-ema005/model-00003-of-00004.safetensors
-
curl -L -o model-00003-of-00004.safetensors https://huggingface.co/SeongryongJung/qwen3-8b-physics-srpo-ema005/resolve/main/model-00003-of-00004.safetensors
4.96 GB
- Xet hash:
- 6b83ec6b806e28b9718ef8217056515578c4964089c003d99cef463e2570a7c1
- Size of remote file:
- 4.96 GB
- SHA256:
- 32b2b624dae4d6613213ecc8f11fee2065ee1f420e33fcdeeb5eee4030793984
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