Comments (1)
Please try pip install -e .
under the root of this repository. It will install all dependencies for this library.
If that stills not work for you, please try manually run pip install git+https://github.com/Ber666/llama3@llama3
, which just rename the package name for compatibility to install llama 1-3 simultaneously.
from llm-reasoners.
Related Issues (20)
- Download val error in Blocksworld HOT 1
- Blocksworld Example Runtime Error: 'NoneType' object has no attribute 'cadam32bit_grad_fp32' HOT 1
- TypeError: Too few parameters for <class 'reasoners.base.WorldModel'>; actual 2, expected 3 HOT 7
- fast_reward() for GSM8K always returns 0 HOT 1
- Setting the VAL env parameter for evaluation on Blocksworld HOT 2
- XOT?
- Applicability to Programming Problems? HOT 1
- Too few parameters for <class 'reasoners.algorithm.mcts.MCTSNode'>; actual 2, expected 3 HOT 5
- AtrributeError: 'str' object has no attribute 'name' when I build more example prompts on Blocksworld benchmark. HOT 3
- Llama3-70B inference stopping issue
- tot game24 reproduce error HOT 2
- prompts for MATH are not uploaded HOT 1
- EOS token '\n' not working properly in llama3 HOT 1
- why so slow when I run rag_stragegyQA HOT 3
- Build new task
- You forgot to change the path of some datasets. HOT 1
- --> 245 assert torch.all(prompt_tokens[: len(prefix_tokens)] == prefix_tokens), (prompt_tokens, prefix_tokens) HOT 3
- RuntimeError while running RAP for gsm8k dataset using exllama
- Demo Notebook Doesn't Run
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