Comments (1)
No, they are for different purposes. SAT is for fast develop (model design) and training, while FasterTransformer is for inference.
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Related Issues (20)
- How to embed video encoder module from pytorch? HOT 3
- deepspeed分布式训练出现sat ValueError inconsistent HOT 1
- SwissArmyTransformer可以读bin权重文件吗?visualglm-6b项目里就没见pt文件,只有bin。难以微调 HOT 5
- 单机多卡训练时内存占用过高 HOT 2
- Is sat suuport saving checkpoint by using fp16 or bf16? HOT 5
- deepspeed 分布式训练 loss nan or inf HOT 1
- Questions about your LoRA codes HOT 7
- 请问针对样本数量不均衡的数据集怎么做样本均衡呢 HOT 1
- 怎么从断点恢复微调训练 HOT 1
- AutoModel.from_pretrained()里面不能加载hf的权重吗
- AutoModel.from_pretrained()里面不能加载hf版本的权重吗 HOT 1
- MixtralMlpMixin()这个函数里面moe只是计算专家的logits但是没看到分发逻辑 HOT 1
- Using CogVLM - KeyError (MODEL_URLS) - Google Colab HOT 1
- 如果想绕过deepspeed做finetune,可以在train的时候直接model.step()来实现吗? HOT 1
- “No backend type associated with device type cpu” when run cli_demo_sat.py HOT 5
- ModuleNotFoundError: No module named 'localAttention'
- NO cogagent? HOT 2
- How to install a model to the right path? HOT 1
- transfer_param.py 转换vincuna hf模型成sat模型报错 HOT 17
- 请问断点续训应该如何设置 HOT 6
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