Comments (1)
合并模型再训练
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Related Issues (20)
- 模型eval时只输出loss等info,却没有acc?求助(是环境问题吗) HOT 2
- Latest LLaMA-Factory repo force to use Troch 2.4 hence is clashing with Unsloth/XFormers HOT 3
- webui Chat hugging face 总是乱码
- 如何使用自己的reward函数而不是使用reward model呢? HOT 1
- 请问,llamafactory现在支持在昇腾910上进行模型评估嘛? HOT 1
- Gemma 2 + unsloth + fa2 full SFT RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- 微调后词表长度不一致怎么办
- 请问使用qlora微调后生成的模型中哪里体现了量化的配置参数 HOT 1
- Llama-factory使用错误
- 如何在 使用 openai 风格 部署时,使用 beam search
- help on understanding the implementation of FSDP.
- bitsandbytes qlora微调模型推理
- Running tokenizer on dataset 速度逐渐变慢 HOT 1
- model.generate的参数在yaml中设定无效,我设了do_sample: false,使用profiler查看实际还是true 此问题只在训练中途的eval发生,训练结束的最后一次eval正常
- 设置随机数种子后,相同数据集和配置的每次训练loss还是不一样 HOT 2
- 对微调后的GLM-4-9B-Chat运行examples/train_lora/llama3_lora_predict.yaml出错
- qwen2-vl双卡全量微调OOM HOT 1
- 多机多卡运行报错
- ValueError: Template qwen2 does not exist. HOT 1
- 多卡制定HF_DATASETS_CACHE会报错 HOT 2
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