Comments (1)
https://github.com/hiyouga/LLaMA-Factory/blob/main/examples/README_zh.md
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Related Issues (20)
- recover_from_checkpoint 如何修改后续语料的训练batch size? HOT 1
- 微调后的多模态模型怎么推理 HOT 3
- Unable to interrupt when using multi-GPU training in webui. 在webui使用多GPU训练时无法中断
- 使用src/api_demo.py启动lora微调的模型,上下文超过长度时推理服务报500 internal server error直接挂掉
- [5.28日拉取的代码]:2 * A40 采用FSDP + Qlora微淘Qwen1.5-72B-Chat,训练报错:"addcdiv_cpu_out" not implemented for 'Half' HOT 1
- 二次预训练,损失函数震荡下降 HOT 2
- 如何在训练中指定eval_steps定期评估而不是训练后评估 HOT 1
- LoRA之后合并导出的模型文件为.bin文件而不是safetensors文件 HOT 2
- 使用llava-hf/llava-v1.6-mistral-7b-hf微调报错 HOT 2
- Qwen推理乱回答问题 HOT 3
- 模型微调的并行问题 HOT 1
- 用的什么库实现lora微调 HOT 1
- docker: Error response from daemon: could not select device driver "" with capabilities: [[gpu]].
- RuntimeError: expected mat1 and mat2 to have the same dtype, but got: float != c10::BFloat16 HOT 1
- 最新代码评估结果generated_predictions.jsonl的顺序乱了,前天还是正常的 HOT 1
- Llama3-70B 8K全参数微调需要多少张A100 80G的卡? HOT 1
- llama factory 训练完后的模型,可以用 huggingface的 transformer 导入吗? HOT 2
- Feature suggestion: cutoff_len could optionally drop too long examples from dataset. HOT 1
- max_grad_norm 在sft下面不起作用 HOT 1
- 用openai库 请求时,流式请求时缺stream_options={"include_usage": True}的处理,用于计算流式tokens
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