Instructions to use HoangTran223/T-SPIN_Gamma2-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HoangTran223/T-SPIN_Gamma2-2B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HoangTran223/T-SPIN_Gamma2-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
T-SPIN Gemma2-2B (Ultrachat50k)
Repo name uses Gamma2 as requested; the model is Gemma2-2B.
SFT init: HoangTran223/gemma2_2b_sft_ultrachat200k_20260820_043159.
All 4 iterations finished (2 epochs each). LR 5e-7 on ite0–1, 1e-7 on ite2–3.
alpha=1.0, beta=0.1 (ite0 used beta=0.0).
Layout:
ite0/,ite1/,ite2/,ite3/finished policiesite0/train.jsonl…ite3/train.jsonlsynthetic tripletsproto/train.jsonl(y_0)logs/tspin_gemma2.log
Load final policy:
from transformers import AutoModelForCausalLM
m = AutoModelForCausalLM.from_pretrained("HoangTran223/T-SPIN_Gamma2-2B", subfolder="ite3")
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Model tree for HoangTran223/T-SPIN_Gamma2-2B
Base model
google/gemma-2-2b