Comments (3)
你的 base 模型是?
from llama-factory.
你的 base 模型是?
Meta-Llama-3-8B
from llama-factory.
非 instruct 模型不能用 llama3 模板,因为特殊标记符没有经过初始化,请更换 instruct 模型
from llama-factory.
Related Issues (20)
- Export to huggingface hub got error HOT 3
- Tools Section in sharegpt format dataset
- Qwen2 Model Series HOT 1
- How to override the parameter in the yaml file? HOT 1
- Support LLaVA-NEXT Video Model? HOT 1
- llama3-70b 8192长度需要准备多少存储? HOT 1
- can't pass `load_in_4bit`or `load_in_8bit` as a kwarg when passing `quantization_config` argument at the same time
- Got KeyError: 'WEBP' in fine-tunning HOT 1
- Ascend NPU推理llama2报错 HOT 4
- 关于S^2 Attention在半精度下的微调grad_norm为nan
- GLM4-base加载tokenizer出错 HOT 2
- What's the difference between "quantization bit in advanced configuration" and "export quantization bit in export tab"? HOT 1
- NPU glm-4-9b-chat API推理报错 HOT 2
- 運行webui時報錯 OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like meta-llama/Meta-Llama-3-8B-Instruct is not the path to a directory containing a file named config.json. HOT 3
- qlora vs lora adapter sizes HOT 1
- Pypi/Conda Package HOT 1
- Evaluation with ceval cmmlu get 0 as result HOT 1
- Do you have plans to add fine-tuning scripts for other multimodal large models? For example, Qwen_VL, LLaVA1.6, MiniGPT4, etc. HOT 1
- Export 4bit quantization model got error: Please merge adapters before quantizing the model. HOT 4
- KTO examples does not work HOT 2
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