llama-cpp

github:zechenzhangAGI/claude-ai-research-skills · first committed 2025-11-09 · source · badge

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

Skill Health: not yet scored

Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Version history

5 commits to this file on GitHub (newest first).

2025-11-20 · commit 0a9ded4 · Standardize skill metadata: Add category tags and update authors
2025-11-20 · commit 51fc3a3 · Trigger upload of remaining 32 skills batch 2
2025-11-20 · commit 81c38fe · Upload all remaining 34 skills to Orchestra marketplace
2025-11-19 · commit bd4461f · Standardize YAML frontmatter for all 54 skills
2025-11-09 · commit 096b8f0 · feat: Add 8 comprehensive AI research skills (inference, optimization, tokenization, data)

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