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LLaMA
Llama LLM, a foundational, 65-billion-parameter large language model by Meta. Meta, February 23rd, 2023.
Our verdict
We have not reviewed LLaMA yet
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From the listing
About LLaMA
LLaMA is a foundational 65-billion-parameter large language model released by Meta in 2023. It is open source, allowing researchers and developers to download and fine-tune the model for diverse applications.
Best for
Researchers and developers needing an open-source foundation for custom LLM projects
Use cases
- Generating text for chatbots or content
- Fine-tuning for domain-specific applications
- Conducting research in natural language processing
Pros
- Open source availability enables customization
- Strong performance on many benchmarks
- Large 65B parameter scale for deep language understanding
Cons
- Requires significant computational resources
- Not fine-tuned for instruction following out-of-the-box
- Relatively new, community support still growing
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
Alternatives
Alternatives to LLaMA
| Record | Type | How we know | Checked |
|---|---|---|---|
| DeepSeek-R1This is an alternative to it | Open source | Named in the listing | Not dated |
| GLM-6B (ChatGLM)This is an alternative to it | Open source | Named in the listing | Not dated |
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Sources
Where this comes from
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Changelog
What changed
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Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
gpt4all
Various
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
llama.cpp
Various
LLM inference in C/C++
privateGPT
Various
Interact with your documents using the power of GPT, 100% privately, no data leaks
Ollama
Ollama
Run supported language models on your computer, with additional cloud options.
vLLM
Community
A high-throughput and memory-efficient inference and serving engine for LLMs
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