Related Issues (20)
- TypeError: DeepSpeedZeroOptimizer.check_overflow() got an unexpected keyword argument 'external'
- How to use Tensor Parallelism for WizardCoder Inference?
- multi-node training error HOT 5
- Errors in cifar training and compression HOT 3
- step3 rlhf traning: RuntimeError: torch.cat(): expected a non-empty list of Tensors HOT 2
- Sample codes don't work in WSL2 after #651 HOT 1
- Step 2 reward model finetuning: how is the loss computed? HOT 1
- Questing about why we need to add a space before prompt in stage3?
- why can't I just set the 'data_sampling=true"?
- [BUG] deepspeed-chat training error on v100 * 8, raise RuntimeError "still have inflight params " after training of step3 with offload option turned on HOT 2
- [BUG] Evaluation sampler is assigned incorrectly in `step_2_reward_model_finetuning`
- how to understand the code for calculating rewards
- [BUG]deepspeed-chat training error on v100 * 8, raise assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary() after training of step3 HOT 3
- Step3: 8 * A100-40G training LLAMA2-7B and OPT-350M out of memory. HOT 2
- LLaMA2-7b error:AssertionError: {'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])} HOT 7
- The problem of model parallelism in training HOT 1
- I have a question about zeroquant Example
- [QUESTION]I have a question about deepspeed compression on weight quantization and activation quantization
- ppo zero stage 3 generate too slow HOT 1
- [PROBLEM] DeepSpeedChat Create HF Model FOR LLAMA Token ID Question HOT 1
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