Dev tools · September 30, 2023
Swiss Army Llama
This project originally started out with a focus on easily generating embeddings from Llama2 and other llama_cpp (gguf) models and storing them in a database, all exposed via a convenient REST api (hence why it was originally called the not-very-catchy name of "llama_embeddings_fastapi_service" when I submitted it a few weeks ago). But since then, I've added a lot more functionality: 1) New endpoint for generating text completions (including specifying custom grammars, like JSON). 2) Get all the embeddings for an entire document--can be any kind of document (plaintext, PDFs, doc/.docx,…
Swiss Army Llama launched on September 30, 2023 with 6 votes, #1,645 of 4,228 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract. - Dicklesworthstone/swiss_army_llama
In the maker’s words, at launch
This project originally started out with a focus on easily generating embeddings from Llama2 and other llama_cpp (gguf) models and storing them in a database, all exposed via a convenient REST api (hence why it was originally called the not-very-catchy name of "llama_embeddings_fastapi_service" when I submitted it a…
Does a similar job
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Llama2 Embeddings FastAPI Server2023 · github.com · ▲178Author here. I just wanted a quick and easy way to easily submit strings to a REST API and get back the embedding vectors in JSON using Llama2 and other similar LLMs, so I put this together over the past couple days. It's very quick and easy to set up and totally self-contained and self-hosted. You can easily add new models to it by simply adding the HuggingFace URL to the GGML format model weights. Two models are included by default, and these are automatically downloaded the first time it's run. It lets you not only submit text strings and get back the embeddings, but also to compare two…
- UCUse Code Llama as Drop-In Replacement for Copilot Chat2023 · continue.dev · ▲187
Hi HN, Code Llama was released, but we noticed a ton of questions in the main thread about how/where to use it — not just from an API or the terminal, but in your own codebase as a drop-in replacement for Copilot Chat. Without this, developers don't get much utility from the model. This concern is also important because benchmarks like HumanEval don't perfectly reflect the quality of responses. There's likely to be a flurry of improvements to coding models in the coming months, and rather than relying on the benchmarks to evaluate them, the community will get better feedback from people…
LLaMA tokenizer that runs in browser2023 · github.com · ▲115JS tokenizer for LLaMA 1 and 2. Contribute to belladoreai/llama-tokenizer-js development by creating an account on GitHub.
Grammar Generator App for Llama.cpp2023 · grammar.intrinsiclabs.ai · ▲19llama.cpp added context-free grammar guided generation functionality. It requires passing a file in a derivative of BNF notation, which gets messy very quickly for things like JSON. To improve the experience, we built a small compiler from TypeScript interfaces to the grammar file format and have it hosted in a little browser app. See more in discussion at https://github.com/ggerganov/llama.cpp/discussions/2494
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Source: Show HN post ↗ · launch text quoted in part
