Comments (5)
It is impossible for researchers in Turkey to get even 1% of such hardware to train such models
So Please release the trained model so we can experiment on it
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Just to finally put a cap on this...
https://github.com/pytorch/fairseq/blob/master/examples/megatron_11b/README.md
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As mentioned in the readme, there are some pretrained models available through the NGC catalog in addition to the fairseq provided model above. Closing.
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Is it possibile to release a pre-trained model?
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@0ctopirate I wonder if it fits in 11GB GPU, or maybe a new 24GB RTX one?
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Related Issues (20)
- [BUG] The problems with bucket and shared_embedding. HOT 3
- [QUESTION] Is FP32 supported in MultiNode Training HOT 4
- [BUG] Can't continue training from GPT-345M checkpoint with TransformerEngine - RuntimeError: Error(s) in loading state_dict for ParallelTransformer HOT 5
- [BUG] GroupedMLP calculation problem. HOT 2
- Configuring datasets using train-data-path, valid-data-path, and test-data-path results in training errors
- [BUG] HOT 1
- Fonte facilitada em fractal 2030
- [BUG] Wrong embedding gradients with distributed optimizer and shared embedding HOT 3
- [QUESTION] how to configure llama3 model HOT 2
- [QUESTION] Does Megatron-LM supports P100? HOT 2
- [QUESTION] Why TE is not used for an MoE layer? HOT 2
- [QUESTION] Question about resume with distributed optimizer HOT 1
- [ENHANCEMENT] update black version HOT 2
- [QUESTION] Problems performing inference HOT 1
- [BUG] Megatron Core example not working HOT 3
- [ENHANCEMENT]How, or rather, is there any support provided for MOE models of Qwen2MoeForCausalLM in the transformers library?
- [ENHANCEMENT]How to specify the number of layers in each pipeline stage in my mind?
- [BUG] Mismatch Between Docstring and Behavior in core.tensor_parallel.random.model_parallel_cuda_manual_seed HOT 1
- Projeto liliti stk 3.6.9 acabou HOT 1
- When H800 is trained with FP8, the performance is not significantly improved compared to FP16, and is even worse than FP16. HOT 3
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