Soup CLI

Soup CLI

Soup CLI is a fine-tuning tool by Soup that trains and aligns Llama-3.1-8B on a 4 GB laptop GPU, supporting DPO, ORPO, and more with streamed inference, VRAM efficiency, and multi-backend compatibilit

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What is Soup CLI?

Soup CLI is a free, open-source command-line tool that handles the entire post-training stack for AI models—from data preparation to fine-tuning and evaluation. It writes the training configuration for you, using rules instead of manual searching to determine task type, quantization, learning rate, and epochs. The tool supports 23 training methods, 142 recipes, and 17 quantization formats, with integrations for MLX and Apple hardware. Users install it via pip, initialize a config file, and run a single soup train command to start training. It is designed to run on modest hardware, fine-tuning Llama-3.1-8B on a 4 GB laptop GPU.

Application scenarios

  • Laptop GPU fine-tuning

    Train and align Llama-3.1-8B on a 4 GB GPU without loading the full frozen base model into memory.

  • Alignment training

    Run DPO, ORPO, SimPO, and KTO alignment methods with streaming support.

  • Config migration

    Switch from LLaMA-Factory, Axolotl, or Unsloth in about 30 seconds using the `soup migrate` command.

  • Data pre-flight checks

    Validate and "doctor" your training data before starting a run.

  • Evaluation-driven training

    Derive evaluation metrics from your own dataset and gate every model save on a SHIP or DON'T-SHIP verdict.

  • Speech and text training

    Train on text or speech without erasing previously learned tasks.

Core Features

  • Auto-generated configs

    Soup writes the entire training configuration (task, quantization, LR, epochs) based on rules, not manual tuning.

  • Layer streaming

    Streams the frozen base model from RAM or NVMe one layer at a time, quantizing to 4-bit, so large models fit on small GPUs.

  • Reward hacking correction

    Self-corrects reward hacking mid-run instead of simply halting training.

  • Save gating

    Every model save is gated on a SHIP or DON'T-SHIP verdict you can commit alongside the weights.

  • Migration tool

    One command converts existing configs from LLaMA-Factory, Axolotl, or Unsloth notebooks.

  • Multi-backend compatibility

    Integrates with HuggingFace, Ollama, vLLM, DeepSpeed, Unsloth, ONNX, NVIDIA TensorRT, W&B, SGLang, and FlashAttention.

  • Broad method support

    23 training methods, 142 recipes, and 17 quantization formats.

  • Apple hardware support

    Includes an MLX adapter for Apple silicon.

  • Open source

    Apache-2.0 license, supports Python 3.10 to 3.12, with no vendor lock-in.

Target users

Soup CLI is built for machine learning engineers and AI researchers who need to fine-tune or align open-source models without expensive GPU clusters. It suits teams already using tools like LLaMA-Factory, Axolotl, or Unsloth who want a more automated pipeline. Developers working on laptops or single-GPU workstations will find the VRAM efficiency and layer streaming particularly useful. It also appeals to practitioners who want evaluation-driven training with clear ship/don't-ship decisions baked into the workflow.

How to use Soup CLI?

  1. Install with pip install "soup-cli[train]".
  2. Run soup init to create a soup.yaml config file.
  3. Run soup train to start training.
  4. If migrating from another tool, use soup migrate --from llamafactory config.yaml (or axolotl/unsloth equivalents).
  5. For full details, visit the official site at https://trysoup.dev/.

Effect review

Soup CLI's core promise—fine-tuning Llama-3.1-8B on a 4 GB laptop GPU—is a significant practical advantage for developers without access to high-end hardware. The auto-generated configs and migration tools remove much of the friction associated with setting up training runs, which is a genuine time-saver. The SHIP/DON'T-SHIP save gating and reward hacking correction add a layer of quality control that most training tools lack. While the website doesn't include user testimonials or benchmark results, the feature set is coherent and directly addresses common pain points in post-training workflows. The Apache-2.0 license and no vendor lock-in make it a safe choice for production use.

Frequently Asked Questions

What is Soup CLI?
Soup CLI is a fine-tuning tool that trains and aligns Llama-3.1-8B models on a 4 GB laptop GPU, supporting methods like DPO and ORPO.
Can Soup CLI run on low-end hardware?
Yes, Soup CLI is optimized for VRAM efficiency, allowing fine-tuning on a 4 GB laptop GPU without requiring high-end hardware.
What fine-tuning methods does Soup CLI support?
It supports DPO (Direct Preference Optimization), ORPO (Odds Ratio Preference Optimization), and other alignment techniques.
Does Soup CLI support streamed inference?
Yes, it includes streamed inference capabilities, enabling real-time token generation during or after training.
What backends are compatible with Soup CLI?
It offers multi-backend compatibility, allowing integration with various hardware and software environments.
Is Soup CLI free to use?
The description does not specify pricing; check the official Soup CLI documentation for licensing and cost details.

Soup CLI - AI Tool Detail

Soup CLI is a fine-tuning tool by Soup that trains and aligns Llama-3.1-8B on a 4 GB laptop GPU, supporting DPO, ORPO, and more with streamed inference, VRAM efficiency, and multi-backend compatibilit

Category：Model fine-tuning

Visit Link：https://trysoup.dev/

Tags：fine-tuning、llama-3.1、dpo、orpo、vram-efficient