tinyforge-zero/requirements.txt

# Exact stack used in the paper (May 2026).
# Tested on H100 80GB (driver 570+) and RTX 6000 Ada.

torch==2.6.0
transformers==4.51.3
vllm==0.8.5
peft==0.13.0
accelerate>=0.30
datasets>=2.18
sympy>=1.12
numpy<2
scipy
hf_transfer
Initial release: TinyForge-Zero recipe + mined pairs + reproduction guide Companion artifact for the paper 'How Far Can an Open Base Model Self-Improve? Recipes, Limits, and Test-Time Synergy'. Contents: - recipe/{train_on_pairs,bootstrap,multi_pair_14b,curriculum_math,eval_raw,eval_plus,confirm}.py - data/pairs_{7b_40,14b_multi_new60,math_13}.jsonl (released mined pairs) - controls/mbpp_corrupt_control.py (the +0 negative control) - docs/{scaling_chart,fig1_headline,fig6_boundary}.png - REPRODUCE.md (paper claim -> exact command mapping) 2026-05-13 20:43:52 +05:00			`# Exact stack used in the paper (May 2026).`
			`# Tested on H100 80GB (driver 570+) and RTX 6000 Ada.`

			`torch==2.6.0`
			`transformers==4.51.3`
			`vllm==0.8.5`
			`peft==0.13.0`
			`accelerate>=0.30`
			`datasets>=2.18`
			`sympy>=1.12`
			`numpy<2`
			`scipy`
			`hf_transfer`