Comments (2)
hi~
you can set as:
"meta-llama/Llama-2-7b-hf"
"meta-llama/Llama-2-13b-hf"
"meta-llama/Llama-2-70b-hf"
model lists can be seen here: https://huggingface.co/meta-llama
make sure to use the model end with hf
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thanks.
I am getting the following error while trying to run run.sh
File "/home/.local/lib/python3.9/site-packages/bitsandbytes/cuda_setup/main.py", line 183, in remove_non_existent_dirs
if path.exists():
File "/fs/applications/jupyterhub/gpu.jupyterhub.rng-dl01/jupyterhub_3.1.1/lib/python3.9/pathlib.py", line 1424, in exists
PermissionError: [Errno 13] Permission denied: '/fs/applications/jupyterhub/gpu.jupyterhub.rng-dl01/srv/jupyterhub'
why is it referring to jupyter hub?
how do I resolve this?
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Related Issues (20)
- Ask for adding a new baseline——MuggleMATH in the Comparing MetaMath with the LLM models HOT 1
- Modified parameter name that is different from README. HOT 1
- Problem regarding the evaluation codes of the GSM8K - `eval_gsm8k.py` HOT 1
- OOM HOT 1
- will there be ablation studies? HOT 2
- How many tokens did MetaMath train on?
- May I know how you load QLoRA+LLaMA 70B with vllm? HOT 1
- MetaMath-Mistral-7B gsm8k/math acc different from the reported values HOT 2
- the few-shot in-context learning issues. HOT 1
- Is the MetaMathQA dataset suitable for pre-training? HOT 1
- Potential error in eval_gsm8k.py
- Error in run_create_backward_questions.sh HOT 2
- Questions about MetaMATH dataset
- The accuracy of MATH test set trained on 7B is not consistent with paper. HOT 1
- Metamath dataset for separated for different math subjects
- Issue with Fine-tuning Mistral 7B Model - Results Discrepancy HOT 2
- eval_math and eval_gsm8k
- Transformers and Tokenizers version conflict. HOT 1
- Are the MetaMath Eval Result valid? e.g., What is the standard way to evaluate on MATH?
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