

⚗️ Optimization
- A notebook on how to fine-tune LLaMA model using xturing library on GPU which has limited memory. 🌎 
⚡️ Inference
- A notebook on how to run the LLaMA Model using PeftModel from the 🤗 PEFT library. 🌎 
- A notebook on how to load a PEFT adapter LLaMA model with LangChain. 🌎
🚀 Deploy
- A notebook on how to fine-tune LLaMA model using LoRA method via the 🤗 PEFT library with intuitive UI. 🌎 
- A notebook on how to deploy Open-LLaMA model for text generation on Amazon SageMaker. 🌎 
LlamaConfig
[[autodoc]] LlamaConfig
LlamaTokenizer
[[autodoc]] LlamaTokenizer
    - build_inputs_with_special_tokens
    - get_special_tokens_mask
    - create_token_type_ids_from_sequences
    - save_vocabulary
LlamaTokenizerFast
[[autodoc]] LlamaTokenizerFast
    - build_inputs_with_special_tokens
    - get_special_tokens_mask
    - create_token_type_ids_from_sequences
    - update_post_processor
    - save_vocabulary
LlamaModel
[[autodoc]] LlamaModel
    - forward
LlamaForCausalLM
[[autodoc]] LlamaForCausalLM
    - forward
LlamaForSequenceClassification
[[autodoc]] LlamaForSequenceClassification
    - forward
LlamaForQuestionAnswering
[[autodoc]] LlamaForQuestionAnswering
    - forward
FlaxLlamaModel
[[autodoc]] FlaxLlamaModel
    - call
FlaxLlamaForCausalLM
[[autodoc]] FlaxLlamaForCausalLM
    - call