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User seeks FP8 LLM training config for SM120 GPU

A user on Reddit is seeking advice on the optimal software, kernel, and configuration settings for training a large language model using FP8 precision on an SM120 GPU. They are encountering difficulties with fine-tuning, particularly with vLLM, and are finding that upscaling to BF16 is often necessary, which negates the benefits of FP8 training. AI

IMPACT This query highlights ongoing challenges in optimizing LLM training efficiency and accessibility on specific hardware configurations.

RANK_REASON User query about specific hardware/software configuration for LLM training.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User seeks FP8 LLM training config for SM120 GPU

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Thrumpwart ·

    So what’s the best software/kernel/config combo for SM120 FP8 training?

    <!-- SC_OFF --><div class="md"><p>I’m having a hellluva time trying to fine-tune an FP8 LLM model (both FFT and LORA). I’ve been using VLLM and they sure don’t make it easy on SM120 for FP8. So far everything I’ve tried even semi-successfully requires upscaling (either layers or …