diff --git a/README.md b/README.md index 6640364..4d08105 100644 --- a/README.md +++ b/README.md @@ -18,8 +18,10 @@ A list of notebooks and articles related to large language models. | Fine-tune Llama 2 in Google Colab | Fine-tune a Llama 2 model on an HF dataset and upload it to the HF Hub. | [Tweet](https://twitter.com/maximelabonne/status/1681791164083576833) | Open In Colab | | Introduction to Weight Quantization | Large language model optimization using 8-bit quantization. | [Article](https://mlabonne.github.io/blog/posts/Introduction_to_Weight_Quantization.html) | Open In Colab | | 4-bit LLM Quantization using GPTQ | Quantize your own open-source LLMs to run them on consumer hardware. | [Article](https://mlabonne.github.io/blog/4bit_quantization/) | Open In Colab | -| Quantize Llama models with GGML and llama.cpp | Quantize Llama 2 models with llama.cpp and upload GGUF to the HF Hub. | [Article](https://mlabonne.github.io/blog/posts/Quantize_Llama_2_models_using_ggml.html) | Open In Colab | -| ExLlamaV2: The Fastest Library to Run LLMs | Quantize and run EXL2 models and upload them to the HF Hub. | [Article]() | Open In Colab | +| Quantize Llama 2 models with GGUF and llama.cpp | Quantize Llama 2 models with llama.cpp and upload GGUF to the HF Hub. | [Article](https://mlabonne.github.io/blog/posts/Quantize_Llama_2_models_using_ggml.html) | Open In Colab | +| ExLlamaV2: The Fastest Library to Run LLMs | Quantize and run EXL2 models and upload them to the HF Hub. | [Article](https://mlabonne.github.io/blog/posts/ExLlamaV2_The_Fastest_Library_to_Run%C2%A0LLMs.html) | Open In Colab | +| Fine-tune a Mistral-7b model with DPO | Introduction to RLHF with PPO and DPO. | [Tweet](https://twitter.com/maximelabonne/status/1729936514107290022) | Open In Colab | + ## 🧩 LLM Fundamentals @@ -241,9 +243,10 @@ Quantization is the process of converting the weights (and activations) of a mod W.I.P. +--- ### Contributions -Feel free to raise a pull request or contact me if you think other topics should be mentioned or the current architecture could be improved. +Feel free to contact me if you think other topics should be mentioned or if the current architecture can be improved. ### Acknowledgements