Comments (2)
ChiYeungLaw
commented on June 10, 2024
Other language can be used too.
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CrisRodriguez
commented on June 10, 2024
Hi @zheng5yu9,
I post this so anyone having the same doubt can easily find an answer :)
WizardCoder-Python-34B-V1.0 is based on Code-lama 34B python
- It is a non-instruct model
- Data that the model saw :
- Same as llama-2 foundation model
- 500B tokens from a code-heavy dataset
- 100B tokens using a Python-heavy dataset
Image taken from code-llama paper
- It covers then a diverse set of programming languages. Among them: Python, C++, Java, PHP, TypeScript, C#, and
Bash (with results reported in the paper)
WizardCoder-Python-34B-V1.0 is finetuned
- Complex instruction fine-tuning, by adapting the Evol-Instruct method to the domain of code
- Base dataset for evol-instruct: Code Alpaca
- Code Alpaca covers also a diverse set of programming languages
So, even if WizardCoder-Python-34B-V1.0 is specialized in Python it covers still plenty of other programming languages!
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Related Issues (20)
- TypeError: AsyncConnectionPool.__init__() got an unexpected keyword argument 'socket_options'
- Questions about package installation of vllm==0.1.4. HOT 1
- Number of vocab in WizardCoder-1B
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- 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
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- Does the EVOL process of instruction dataset has been released?
- help!Why can't my vllm work?
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