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pochenai/nano-llm-posttraining — GitHub trending stats & insights | Trendshift
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pochenai/nano-llm-posttraining
Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence.
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Python
7
1
1 contributors
MIT License
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8GB of VRAM, 135M params, under 100 lines: enough to run SFT, DPO, and GRPO end to end. The useful result isn't the score, it's a cheap bench where SFT drifts more than on-policy RL. Post-training…
@sakurayukiai · x.com
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