Comments (3)
Hi, we are currently only releasing a controlled demonstration of the model as we continue to test it. This decision is in line with Microsoft’s AI ethical principles and our goal is to not just build technology but to also ensure it is distributed and used in a responsible way. See More: https://www.microsoft.com/en-us/AI/our-approach-to-ai
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+1 to release the LM!
In the meantime, the second best LM model freely available (NVIDIA Megatron 11 billions parameters) can be downloaded from Facebook Research fair (11b, 19GB model!)
https://github.com/pytorch/fairseq/blob/master/examples/megatron_11b/README.md
from deepspeed.
Hi, we are currently only releasing a controlled demonstration of the model as we continue to test it. This decision is in line with Microsoft’s AI ethical principles and our goal is to not just build technology but to also ensure it is distributed and used in a responsible way. See More: https://www.microsoft.com/en-us/AI/our-approach-to-ai
After the giant GPT-3 has been “released” I assume Turing-NLG can be proposed as a reasonable alternative to academic research.
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Related Issues (20)
- [BUG] Uneven work distribution caused by get_shard_size changes
- [BUG] When initializing model_engine, if an mpu is specified, it can lead to an excessively large checkpoint size, and the checkpoint may not be convertible through the `zero_to_fp32.py` script.
- [BUG] Uneven work distribution caused by get_shard_size changes HOT 9
- [REQUEST] pynvml package seems to be deprecated in favor of nvidia-ml-py HOT 1
- [BUG] BertLMHeadModel.from_pretrained hangs when using zero-3 / zero3-offload HOT 1
- [BUG]Why ZeroOneAdam is easy to OOM compared to Adam optimizer?
- [BUG] Why the results were inconsistent in two identical tests with config zero2 + overlap_comm HOT 5
- [BUG] Zero3: Post backward hook is not triggered for submodules whose inputs have .required_grad=False HOT 1
- Get a error when use deepspeed training with torch.compile HOT 1
- [BUG]AttributeError: module 'torch.nn.functional' has no attribute 'scaled_dot_product_attention'
- [BUG] fp_quantizer is not correctly built when non-jit installation HOT 2
- [BUG]CUDA error in pipeline parallel HOT 3
- [BUG] FlopsProfiler upsample flops compute bug
- [BUG] Version >0.14.0 leads to `RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!` HOT 15
- [BUG] Zero3: Gather the params for inference(huggingface_language_model.generate) in the end of 1 epoch and re-partition it for next epoch training HOT 9
- [REQUEST] How to install only the torch CPU version when I execute `pip install deepspeed`.
- [REQUEST] DeepSpeed-Ulysses with the Pure Deepspeed Zero
- [BUG] Error with nn.transformers layer size with Zero stage 3 HOT 1
- [Question]how to run the mixtral inference in multi-node?
- [BUG] deepspeed overlap_comm data race HOT 1
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