PaperLLMsv1.0

LLaMA: Open and Efficient Foundation Language Models

by Meta AI · open-source · Last verified 2026-03-17

Introduces LLaMA, a collection of foundation language models ranging from 7B to 65B parameters, trained on publicly available datasets. Showed that smaller models trained on more tokens can match or exceed larger models, democratizing LLM research.

https://arxiv.org/abs/2302.13971 ↗

C+

C+—Average

Adoption: A+Quality: A+Freshness: BCitations: FEngagement: F

Specifications

License: LLaMA Community License
Pricing: open-source
Capabilities: text-generation, reasoning, code-generation, efficient-inference
Integrations: huggingface-transformers, ollama, llama-cpp
Use Cases: research, fine-tuning, local-deployment, edge-inference
API Available: No
Tags: llama, open-source, efficient, meta, foundational, community
Added: 2026-03-17
Completeness: 100%

Index Score

Adoption

Quality

Freshness

Citations

Engagement

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