Llama
Updated
About Llama
Llama is a multimodal AI language model from Meta that takes text and image input and generates text and code output.
Developers and researchers can use Llama for building applications that need image reasoning, multilingual text generation, and code generation. It suits teams working on vision-language tasks or projects that require processing long documents or large codebases thanks to its extended context window. It is accessed through Hugging Face, where it can be deployed or integrated via API.
- Processes both text and image inputs
- Generates text and code in 12 languages
- Mixture-of-experts architecture with 128 experts
- Instruction-tuned for assistant-like behavior and image reasoning
- Context window of up to 1 million tokens
Good to know: Available through Hugging Face, which offers Inference Providers access to models via a unified API, with Compute starting at $0.60/hour for GPU and Enterprise plans starting at $20/user/month.
Key features
- Multimodal understanding: Handles text and image inputs together for more complete reasoning and generation tasks.
- Multilingual code generation: Produces text and code output across 12 languages, including Spanish, French, Hindi, and Arabic.
- Extended context window: Supports up to 1 million tokens, allowing it to process very long or complex inputs.
At a glance
- Category: AI Coding
- Type: AI model & API platform
- Jobs: Build Sites & Apps
- Evidence: Proven · 100+ reviews
- AIME Score: 65 of 100
- Website: huggingface.co
Alternatives to Llama
- Azure OpenAI Service (AIME Score 65)
- AWS Bedrock (AIME Score 64)
- Wiro (AIME Score 63)
- Apiframe (AIME Score 63)
- Mistral AI (AIME Score 62)
- Google AI Studio (AIME Score 74)
More AI model & API platform tools
Sources: Details checked on the tool’s own website · Researched by AI Made Easy
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