LangStream vs Unsloth
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
It is a framework for building and running Generative AI (Gen AI) applications. It is designed to make it easy to build and run Gen AI applications that can process data in real-time. | It is a tool that enables fast and efficient local LLM finetuning. It uses a manual autograd engine and Flash Attention v2 to achieve 2-5x speedup and 50% memory reduction compared to QLoRA, without compromising accuracy. |
Build Q&A chat over unstructured text in minutes;
Use the latest Gen AI technologies;
Manage embeddings in your vector database;
Code and deploy in Visual Studio Code;
Declare an app and deploy it to dev or prod;
Bring your existing data to the LLM;
Fix your day 2 problems with an event-driven architecture | 2x to 5x faster than QLoRA. 50% less memory usage;
All kernels written in OpenAI's Triton language;
0% loss in accuracy - no approximation methods - all exact;
No change of hardware necessary |
Statistics | |
GitHub Stars 427 | GitHub Stars 47.8K |
GitHub Forks 34 | GitHub Forks 3.9K |
Stacks 1 | Stacks 2 |
Followers 3 | Followers 2 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to LangStream, Unsloth?
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Ollama
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LangSmith
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GPTScript
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LangChain
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Vercel AI SDK
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Hugging Face
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
LlamaIndex
It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.
Chroma
It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
LLM
It is a Rust ecosystem of libraries for running inference on large language models, inspired by llama.cpp. On top of llm, there is a CLI application, llm-cli, which provides a convenient interface for running inference on supported models.
