Community Support & Resources

Community Support

If you have any feature requests, suggestions, bugs to report we encourage you to report the issue in the respective github repository.

Resources

Github

Getting to know Meta Llama 3 - Jupyter Notebook
Meta Llama 3 Repository : Main Meta Llama 3 repository
Meta Llama Recipes : Examples and fine-tuning
Meta Code Llama Repository : Main Code Llama repository
Meta Code Llama Recipes : Examples

Developer Education

Introducing Multimodal Llama 3.2 with Amit Sangani
Knowledge distillation with 405B
Prompt Engineering with Llama 2
Open Approach to Trust & Safety: Llama Guard 3, Prompt Guard & More
Understanding Llama Tokenizer

Performance & Latency

Hamel’s Blog - Optimizing and testing latency for LLMs
vLLM - How continuous batching enables 23x throughput in LLM inference while reducing p50 latency
Paper - Improving performance of compressed LLMs with prompt engineering

Fine-Tuning

Hugging Face PEFT
Meta Llama Recipes Fine-Tuning
Fine-Tuning Data Sets
Efficient Fine-Tuning with LoRA
Weights & Biases Training and Fine-tuning Large Language Models
End to end fine-tuning with torchtune

Code Llama

Fine-Tuning Improves the Performance of Meta’s Code Llama on SQL Code Generation
Beating GPT-4 on HumanEval with a Fine-Tuned CodeLlama-34B
Introducing Code Llama, a state-of-the-art large language model for coding

Others

Note: Some of these resources refer to earlier versions of Meta Llama. However, the concepts and ideas described are still relevant to the most recent version.

Cost comparison for text summarization (Llama vs GPT)
Fine-tuning comparison (Llama vs GPT)
How to Fine-tune Llama with LoRA for Question Answering
Fine-tune Llama for English to Hinglish translation with axolotl
Meta Llama on Hugging Face
Building LLM applications for production
Prompting Techniques

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Community Support

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