p-doom/crowd-code-dataset-0.2 huggingface dataset:
[content] old.txt (plaintext)
actor_val:  50%|█████     | 50/100 [00:43<00:40,  1.23it/s][2025-12-24 14:48:11] train_sft.py:376 - SFT rollout sample: tokens_len=2458, response_length=1763, 
[2025-12-24 14:48:11] train_sft.py:381 - === SFT TARGET TEXT ===
[2025-12-24 14:48:11] train_sft.py:383 - ```bash
cat -n scripts_horeka/modelsize_scaling/lam/train_lam_38M.sbatch | sed -n '1,15p'
```
[content] test.py (python)
from transformers import AutoTokenizer

tok = AutoTokenizer.from_pretrained(
    "Qwen/Qwen-8B",
    trust_remote_code=True,
)

messages = [
    {"role": "system", "content": "You are helpful."},
    {"role": "user", "content": "What is 2 + 2?"},
]

print("=== NO THINKING ===")
print(tok.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
    enable_thinking=False,
))

print("
=== DEFAULT (thinking) ===")
print(tok.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
))