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+---
+title: 'Local Llama Quickstart'
+description: 'A collection of guides to get started with local llamas'
+updateDate: 'Dec 31 2023'
+heroImage: '/images/llama/llama-cool.avif'
+---
+
+<p style="font-size: max(2vh, 10px); margin-top: 0; text-align: right">
+    Midjourney-generated llama from <a href="https://pub.towardsai.net/meet-vicuna-the-latest-metas-llama-model-that-matches-chatgpt-performance-e23b2fc67e6b">Medium</a>
+</p>
+
+"Llama" refers to a Large Language Model (LLM). "Local llama" refers to a
+locally-hosted (typically open source) llama, in contrast to commercially hosted
+ones.
+
+# Local LLaMa Quickstart
+
+I've recently become aware of the open source LLM (local llama) movement. Unlike
+traditional open source, the speed at which this field is moving is
+unprecedented. Several breakthroughs come out on a weekly basis and information
+dated further back than a month is often functionally deprecated.
+
+This collection was gathered in late December 2023, with the intent to help
+anyone looking to get caught up with the field.
+
+## Models
+
+#### Model Sources
+ - [Pre-quantized models](https://huggingface.co/TheBloke)
+
+## Practical use
+
+#### Interfaces
+ - [List of web UIs](https://www.reddit.com/r/LocalLLaMA/comments/1847qt6/llm_webui_recommendations)
+ - [SillyTavern tutori]()
+ - https://www.reddit.com/r/CharacterAi_NSFW/comments/13yy8m9/indepth_explanation_on_how_to_install_silly/ :: tutorial sillytavern webui
+ - [Jailbreaking GPT when prompting for characters](https://rentry.org/GPTJailbreakPrompting)
+ - [Guidelines for prompting for characters](https://rentry.org/NG_CharCard)
+ - [ChatML from OpenAI is quickly becoming the standard for
+   prompting](https://news.ycombinator.com/item?id=34988748)
+
+#### Training
+ - [Teaching llama a new language through tuning](https://www.reddit.com/r/LocalLLaMA/comments/18oc1yc/i_tried_to_teach_mistral_7b_a_new_language)
+ - [Mergekit - MoE training framework](https://github.com/cg123/mergekit)
+ - [Axolotl - Fine tuning framework](https://github.com/OpenAccess-AI-Collective/axolotl)
+ - [Unsloth - Fine tuning accelerator](https://github.com/unslothai/unsloth)
+ - llama.cpp vs Transformers vs LangChain vs PyTorch :: library framework tool standard
+
+#### Tutorials
+ - [Karpathy builds and trains a llama](https://www.youtube.com/watch?v=kCc8FmEb1nY)
+ - [Build a llama DIY by freecodecamp](https://www.youtube.com/watch?v=UU1WVnMk4E8)
+ - [Understanding different quantization methods](https://www.youtube.com/watch?v=mNE_d-C82lI)
+
+#### Servers
+ - [Ollama.ai](https://ollama.ai/)
+ - [llama.cpp](https://github.com/ggerganov/llama.cpp)
+
+## Hardware
+
+#### GPU stuff
+ - [Choosing a GPU for deeplearning](https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/)
+
+#### Cloud renting
+ - [Kaggle](https://kaggle.com) - 30h/week free, enough VRAM for 7B models
+ - [Lambda Labs](https://lambdalabs.com) - Huge instances, competitive pricing
+ - [Runpod](https://runpod.io) - Bad pricing, community cloud option
+ - [Paperspace](https://paperspace.com) - Requires subscription, terrible pricing
+ - [Genesis Cloud](https://genesiscloud.com) - Reddit says it's affordable... I can't verify
+ - [Vast.ai](https://vast.ai) - Very affordable, especially the "interruptible" ones
+
+## Research and Other Blogs
+ - [Mixture of Experts explained](https://goddard.blog/posts/clown-moe/)
+ - [A summary of the local llama scene in December 2023](https://www.reddit.com/r/LocalLLaMA/comments/18mwd6j/how_is_the_scene_currently/)