Text Generation
PEFT
Safetensors
English
text2code
LoRA
GPTQ
Llama-2-7B-Chat
text2python
instruction2code
nl2code
python
Instructions to use SwastikM/Llama-2-7B-Chat-text2code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SwastikM/Llama-2-7B-Chat-text2code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Llama-2-7b-Chat-GPTQ") model = PeftModel.from_pretrained(base_model, "SwastikM/Llama-2-7B-Chat-text2code") - Notebooks
- Google Colab
- Kaggle
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| Model | Total Size | Training Using Adam |
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| Base Model | 12.37 GB | 49.48
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| 4bitQuantized+PEFT | 3.90 GB | 11 GB |
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| Base Model | 12.37 GB | 49.48 GB |
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| 4bitQuantized+PEFT | 3.90 GB | 11 GB |
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