Comments (2)
+1,如果更大的模型也会放出开源那真可能成为game changer
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我们已在魔搭社区(ModelScope)和Hugging Face推出Qwen-14B和Qwen-14B-Chat模型,并开源 qwen.cpp 和 Qwen-Agent。Qwen-7B和Qwen-7B-Chat的代码和模型也同步得到更新。请使用最新的代码和模型!
- 相比原版Qwen-7B,新版用了更多训练数据(从2.2T增加到2.4T tokens),序列长度从2048扩展至8192。整体中文能力以及代码能力均有所提升。
欢迎使用体验!
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Related Issues (20)
- 💡 [REQUEST] - <title> HOT 2
- 微调加载微调模型显存不够,RuntimeError: CUDA error: invalid device ordinal CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions HOT 2
- 損失函數計算(評估)方式 HOT 1
- 以lora、bfloat16方式微调模型,模型微调后采用lora参数和基座模型进行推理,使用merge_and_unload()类前后推理结果不一致,为什么会出现这种情况呢 HOT 2
- qwen-14B-chat-int8/4 vllm模式部署错误:no kernel image is available for execution on the device HOT 1
- 在使用多卡做Qwen-7B-Chat做微调过程中出现ValueError: Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: finetune/ds_config_zero3.json HOT 1
- [BUG] <title>cannot import name 'allow_in_graph' from partially initialized module 'torch._dynamo' (most likely due to a circular import) (/demo/miniconda3/envs/qwen/lib/python3.9/site-packages/torch/_dynamo/__init__.py) HOT 1
- 7B模型推理时生成非有效的idx,应该怎么处理? HOT 1
- deepspeed 单机多卡训练报错 HOT 6
- 请问计划什么时间支持让vllm-gptq运行Qwen-72B-Chat-INT8大模型? HOT 2
- [BUG] 对qwen-7b模型微调后,输出句子断句不正常,直接从句子中间停止 HOT 5
- 4张卡为什么没有并发推理 HOT 5
- Calculate language probabilities HOT 1
- 多卡并行微调卡住 HOT 4
- 微调过程中的taskType参数 HOT 1
- May I ask when Lisa fine-tuning is supported? HOT 1
- 请教,qlora微调没效果 HOT 1
- [HELP] I wonder how the MMLU result is evaluated? HOT 1
- openai_api.py启动的时候添加了username/password, 然后调用的时候怎么传入username/password呢? HOT 1
- 💡 [REQUEST] - <title>数据集构造方法请教 HOT 1
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