v0.6.2
版本发布时间: 2024-04-11 20:27:01
hiyouga/LLaMA-Factory最新发布版本:v0.9.0(2024-09-09 01:14:03)
New features
- Support ORPO algorithm by @hiyouga in #3066
- Support inferring BNB 4-bit models on multiple GPUs via the
quantization_device_map
argument - Reorganize README files, move example scripts to the
examples
folder - Support saving & loading arguments quickly in LlamaBoard by @hiyouga and @marko1616 in #3046
- Support load alpaca-format dataset from the hub without
dataset_info.json
by specifying--dataset_dir ONLINE
- Add a parameter
moe_aux_loss_coef
to control the coefficient of auxiliary loss in MoE models.
New models
- Base models
- Breeze-7B-Base
- Qwen1.5-MoE-A2.7B (14B)
- Qwen1.5-32B
- Instruct/Chat models
- Breeze-7B-Instruct
- Qwen1.5-MoE-A2.7B-Chat (14B)
- Qwen1.5-32B-Chat
Bug fix
- Fix pile dataset download config by @lealaxy in #3053
- Fix model generation config by @marko1616 in #3057
- Fix qwen1.5 models DPO training by @changingivan and @hiyouga in #3083
- Support Qwen1.5-32B by @sliderSun in #3160
- Support Breeze-7B by @codemayq in #3161
- Fix
addtional_target
in unsloth by @kno10 in #3201 - Fix #2807 #3022 #3023 #3046 #3077 #3085 #3116 #3200 #3225