( args.model_name, use_cache=False if args.gradient_checkpointing else True, trust_remote_code=True, device_map="auto", quantization_config=bnb_config, use_auth_token=True, ) output_dir = "/opt/ml/checkpoints/" training_args = TrainingArguments( do_eval=True, bf16=args.bf16, output_...
🤗 Accelerate supports training on single/multiple GPUs using DeepSpeed. To use it, you don't need to change anything in your training code; you can set everything using just accelerate config. However, if you desire to tweak your DeepSpeed related args from your Python script, we provide ...
You can also use the TRL CLI to chat with the model from the terminal: pip install trl trl chat --model_name_or_path HuggingFaceTB/SmolLM-135M-Instruct --device cpu 7 总结 SmolLM系列模型通过实验证明了,只要训练充分、数据质量足够好,小模型也可以取得很好的性能。本文在此用 SmolLM 提供了一...
or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even...
Mixture of Experts is an ensemble learning method that combines multiple models, or "experts," to make more accurate predictions. Each expert specializes in a different subset of the data, and a gating network determines the appropriate expert to use for a given input. This approach allows the...
docker run --gpus all --shm-size 1g -p 8080:80 -v$volume:/data \ ghcr.io/huggingface/text-generation-inference:2.1.1 \ --model-id$model\ --lora-adapters=predibase/customer_support,predibase/magicoder 推理终端 GUI 推理终端支持多种GPU 或其他 AI 加速卡,只需点击几下即可跨 AWS、GCP 以...
🤗 Optimum is an extension of 🤗 Transformers and Diffusers, providing a set of optimization tools enabling maximum efficiency to train and run models on targeted hardware, while keeping things easy to use. Installation 🤗 Optimum can be installed usingpipas follows: ...
If you require BF16 weights for experimentation, you can use the provided conversion script to perform the transformation. Here is an example of converting FP8 weights to BF16: cd inference python fp8_cast_bf16.py --input-fp8-hf-path /path/to/fp8_weights --output-bf16-hf-path /path/to...
Main use 首先是先导入accelerate的包: from accelerate import Accelerator accelerator = Accelerator() 这一个配置需要写在整个training script的前面,因为这是对于distributed training十分重要。 如果原先的代码中有 .to(device) 或.cuda(),那么就去掉,accelerator是可以自动处理的。如果非要使用 .to(device) ,那...
When I used the single-node multi-GPU mode to train, a timeout error was reported. The strange thing is that for the first few epochs, the code works fine. This error was reported after the end of a step eval in the middle. The reported ...