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v1.5.0

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@tastelikefeet tastelikefeet released this 01 Jan 06:09
· 541 commits to main since this release

English Version

New features:

  1. Support multi-line inference
  2. Support multi node training
  3. Add benchmarks
  4. Support UI training, start by swift web-ui
  5. Support VLLM inference
  6. Support RLHF(DPO) training

New tuners:

  1. SCEdit, adopted by TongYi Lab, uses lesser memory but produces better performance than LoRA, and can be used to replace ControlNet in a series of scenarios like Pose control/In-Painting/Out-Paining/Label-removing, etc.

New models:

  1. SUS series models
  2. Mixtral-MoE series models
  3. deepseek series models
  4. phi2-3b
  5. cogagent-chat/cogagent-vqa
  6. codegeex2-6b

New datasets:

Datasets used in RLHF:

  1. hh-rlhf
  2. stack-exchange-paired

中文版

SWIFT本月新版本已经发布!

新特性:

  1. 支持多行输入推理
  2. 支持多卡训练
  3. 添加了模型训练的benchmarks
  4. 支持界面训练和推理,通过swift web-ui开启
  5. 支持VLLM推理
  6. 支持RLHF(DPO)训练

新tuners:

SCEdit: 通义实验室自研的优秀U-Net微调框架,显存占用远小于LoRA,效果较LoRA更好,且可以替代实现ControlNet的效果,实现In-Painting/Out-Paining/标签去除/Pose控制等能力

新模型:

SUS系列模型
Mixtral-MoE系列模型
deepseek系列模型
phi2-3b
cogagent-chat/cogagent-vqa
codegeex2-6b

新数据集:

用于RLHF的数据集:
hh-rlhf
stack-exchange-paired

What's Changed

Full Changelog: v1.4.0...v1.5.0