1
Also covers llm and open source · same kind of open-source project
This repository collects prompts, system prompts, and instructions for large language models.
Alternatives
The Best Awesome Local LLM Alternatives in 2026
24 alternatives0 free · 12 open source
Looking for something like Awesome Local LLM? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 12 are open source.
About Awesome Local LLMgithub.com/rafska/awesome-local-llm
VisitThis repository curates platforms, tools, practices, and resources for running language models locally.
Top picks at a glance
First suggestionThe Big Prompt LibraryThis repository collects prompts, system prompts, and…Another optionHannibal046/Awesome-LLM: Awesome-LLMA curated list of large language model resources maintained…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | The Big Prompt Library | — | Yes | Linux |
| 2 | Hannibal046/Awesome-LLM: Awesome-LLM | — | Yes | — |
| 3 | kyrolabs/awesome-langchain | — | Yes | — |
| 4 | LocalModelsLinks | — | Not stated | Web |
| 5 | Awesome ChatGPT | — | Not stated | — |
| 6 | Screenpipe | — | Not stated | — |
| 7 | Awesome LLM Resources | — | Not stated | — |
| 8 | Llm Prices | — | Not stated | — |
| 9 | Wolfram LLM Benchmarking Project | — | Not stated | Web |
| 10 | PromptEngineering | — | Not stated | — |
All Awesome Local LLM alternatives
2
Also covers llm and open source · same kind of open-source project
A curated list of large language model resources maintained in the Awesome-LLM repository.
3
Also covers llm and open source · same kind of open-source project
This repository curates tools and projects built with the LangChain framework.
4
LocalModelsLinks
rentry.org/LocalModelsLinksAlso covers llm
LocalModelsLinks collects guides and references for running and tuning language models locally.
5
Awesome ChatGPT
github.com/uhub/awesome-chatgptAlso covers llm · same kind of open-source project
This repository curates frameworks, libraries, and software for large language models.
6
Screenpipe
github.com/mediar-ai/screenpipeAlso covers llm · same kind of open-source project
Screenpipe records screen activity locally and provides context to AI agents.
7
Awesome LLM Resources
github.com/ilsilfverskiold/Awesome-LLM-Resourc…Also covers llm · same kind of open-source project
This repository curates resources for applied AI engineering, including tools and other materials for practitioners.
8
Llm Prices
github.com/simonw/llm-pricesAlso covers llm · same kind of open-source project
llm-prices provides language model pricing data and makes it available through a JSON API.
9
Wolfram LLM Benchmarking Project
wolfram.com/llm-benchmarking-projectAlso covers llm
The Wolfram LLM Benchmarking Project tracks model performance on a code-generation task written in Wolfram Language.
10
PromptEngineering
github.com/NirDiamant/Prompt_EngineeringAlso covers llm · same kind of open-source project
This repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.
11
LLM Resources Hub
llmresourceshub.vercel.appAlso covers llm
The LLM Resource Hub collects language model tools, resources, and learning materials.
12
LLM Model VRAM Calculator
huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-…Also covers llm
Estimate language model memory requirements by selecting a Hugging Face model, GPU, context length, and quantization.
13
IUMB
pellaml.github.io/iumbAlso covers llm
IUMB benchmarks language models on undergraduate-level mathematics problems.
14
Also covers open source
Page Assist connects locally running AI models to web browsing through a browser assistant.
15
Also covers open source · same kind of open-source project
Awesome RAG Production curates tools, frameworks, and practices for building retrieval-augmented generation systems.
16
SEAL LLM Leaderboards
scale.com/leaderboardAlso covers llm
SEAL LLM Leaderboards presents expert-driven benchmarks and rankings across coding, reasoning, and other areas.
17
GPT-3 Demo
gpt3demo.comAlso covers llm
800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
18
Also covers open source · same kind of open-source project
This repository collects machine learning resources and tools for the Ruby programming language.
19
Also covers open source · same kind of open-source project
This list tracks front-end GUI clients for ChatGPT, Claude, and other language models.
20
Also covers open source · same kind of open-source project
This repository curates projects and services related to generative artificial intelligence.
21
Also covers open source · same kind of open-source project
This repository curates AI development resources, prompts, frameworks, and configuration examples.
22
Also covers open source · same kind of open-source project
This repository curates ChatGPT tools, applications, and other resources related to the OpenAI chatbot.
23
Also covers open source · same kind of open-source project
This repository curates open-source agentic development environments, including orchestrators, terminals, sandboxes, and agents.
24
Also covers open source · same kind of open-source project
Browse a list of machine learning models for Apple Core ML, collected in this repository.
No alternatives match this filter.
Alternatives to similar tools
The Big Prompt Library24 alternativesScreenpipe24 alternativesAwesome Core ML Models24 alternativesAwesome Machine Learning with Ruby24 alternativesAwesome RAG Production24 alternativesPromptEngineering24 alternatives
What is the best alternative to Awesome Local LLM?
Based on features, tags and platforms, the closest alternatives to Awesome Local LLM are The Big Prompt Library, Hannibal046/Awesome-LLM: Awesome-LLM, and kyrolabs/awesome-langchain.
Are there open-source alternatives to Awesome Local LLM?
Yes: The Big Prompt Library, Hannibal046/Awesome-LLM: Awesome-LLM, kyrolabs/awesome-langchain, and Page Assist.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative