Comments (4)
Your finetune guide (https://github.com/nlpxucan/WizardLM/blob/main/WizardLM/README.md#fine-tuning) still references the 70k dataset
Yep, noticed this too. Perhaps @nlpxucan forgot to update that particular section of the readme during the last commit (2 days ago).
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perhaps this
from wizardlm.
Or maybe they used FastChat rather than Llamax.
from wizardlm.
gonna presume we are using FastChat until I hear otherwise.
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Related Issues (20)
- Number of vocab in WizardCoder-1B
- which model to use for what's the root of 256256?
- Question about WizardCoder-1B-V1.0 HOT 1
- how to change the script to finetune based on codellama
- quantity with auto_gptq avg loss: nan
- Which version of LLama
- Error when inference with WizardCoder-33B-V1.1
- RuntimeError : indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 1
- UnboundLocalError: local variable 'sentencepiece_model_pb2' referenced before assignment
- Caching doesn't work
- Where's alpaca_data_cleaned.json?
- Typo in about text
- Does the EVOL process of instruction dataset has been released?
- help!Why can't my vllm work?
- A minute of silence for wizardlm 2 (gpt-4) HOT 5
- How does it support multi-turn conversations?
- WizardLM/WizardCoder-33B-V1.1 cannot find in huggingface?
- Mirrors of deleted WizardLM models HOT 1
- Reasoning seems flawed
- Sorry but I have to say it: WOW?!
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