Soup CLI
✓ Verified by Editorial GEO 89/100Fine-tune an 8B LLM on a 4 GB laptop GPU
About Soup CLI
LoRA keeps the base model frozen: read, never written. So Soup keeps it in system RAM and streams it into the GPU one decoder layer at a time. Peak VRAM becomes one layer instead of the whole model. Measured on an RTX 3050 Laptop 4 GB: Llama-3.1-8B trains at 119.6 tok/s in 3.32 GB peak. One YAML, one command. SFT, DPO, GRPO, KTO, plus eval, gating and export. Apache-2.0. Every number is published, including the ones I measured and threw away.
#code-devtools
#apache-2.0 license
#layer-wise ram-to-vram streaming
#low-vram fine-tuning
#single-yaml single-command workflow
#supports sft dpo grpo kto
#open source
#verified
A
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