Comments (1)
We have very recently released transformers-integrated versions of the OLMo models on HF (e.g. https://huggingface.co/allenai/OLMo-1.7-7B-hf). It may be easier to try using these models, which will hopefully cause less issues.
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Related Issues (20)
- No module named 'torch.distributed.device_mesh' HOT 6
- the loss spike HOT 6
- RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory HOT 2
- why customized optimizers? HOT 6
- Support DDP
- Inference using llama.cpp
- PyTorch 2.3 Support for for OLMo
- You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. HOT 6
- OLMo-1B's results seem very bad on olmo-eval
- Problems with multi-epoch training
- Problem with HF loading from model checkpoint HOT 5
- OLMoThreadError HOT 2
- training directly from object storage? HOT 2
- Expose memmap_dtype in the data configuration HOT 2
- why is the total_grad_norm increasing across training? HOT 5
- Default eos_token_id in `scripts/prepare-tulu-data.py` HOT 1
- is_causal=attention_bias is None HOT 1
- How many tokens were trained for 7B model. HOT 1
- Finetuning config file HOT 3
- Cant use LORA HOT 6
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