npx skills add majiayu000/claude-skill-registry --skill llama --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Llama Meta Llama is the king of Open Weights models. Llama 4 (2025) pushes 405B+ parameters, rivaling closed models like GPT-5. ## When to Use - **Privacy**: Run it on your own VPC (AWS Bedrock, Azure, or self-hosted). - **Fine-Tuning**: It is the default base model for fine-tuning on domain data. - **Cost**: Inference on Groq/Together AI is significantly cheaper than GPT. ## Core Concepts ### Models - **405B**: Frontier intelligence. Requires massive GPU clusters (or API). - **70B**: The workhorse. Smart enough for most tasks. - **8B**: Runs on a laptop (MacBook M3). ### Quantization Running models at 4-bit or 8-bit precision to fit in VRAM with minimal quality loss (GGUF, EXL2). ### Llama Stack Standardized tooling for building agentic apps on Llama. ## Best Practices (2025) **Do**: - **Use via API**: Groq (LPU) runs Llama Instantaneously (>1000 tok/s). - **Fine-Tune 8B**: For specific tasks (classification, SQL generation), a fine-tuned 8B beats a generic 70B. **Don't**: - **Don't self-host 405B**: Unless you have 8xH100s. Use an API provider. ## References - [Llama Website](https://www.llama.com/)
- When to Use
- Core Concepts
- Models
- Quantization
- Llama Stack
- Best Practices (2025)
- References
What does the llama skill do?
Meta Llama open-source LLM family. Use for local AI.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llama --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.