Hindi SLM — C2 Step 120
Final C2 / step-120 checkpoint produced for the IAIRO SLM++ Bootcamp capstone.
Load
from transformers import AutoTokenizer, AutoModelForCausalLM
repo = "Shadow0131/hindi-slm-c2-step120"
tokenizer = AutoTokenizer.from_pretrained(
repo,
trust_remote_code=True
)
model = AutoModelForCausalLM.from_pretrained(
repo,
trust_remote_code=True
)
This checkpoint uses a custom Transformers architecture, so
trust_remote_code=True is required.
Checkpoint information
- Final checkpoint: C2 / step 120
- Vocabulary size: 32,768
- Context length: 256
- Format: Hugging Face Transformers
- Weights: safetensors
- pad token: EOS fallback
- Domain: Hindi language modeling