by harleyszhang · Agent Tool · ★ 114
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
| Stars | 114 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 38.25/100 |
| Open Issues | 1 |
| Last Updated | 2025-07-11 |
| Created | 2023-07-26 |
| Platforms | python |
| Est. Tokens | ~505k |
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llm_counts is llm theoretical performance analysis tools and support params, flops, memory and latency analysis.. It is categorized as a Agent Tool with 114 GitHub stars.
llm_counts is primarily written in Python. It covers topics such as gpu-performance, llama, llm.
You can find installation instructions and usage details in the llm_counts GitHub repository at github.com/harleyszhang/llm_counts. The project has 114 stars and 10 forks, indicating an active community.
The top alternatives to llm_counts on Agent Skills Hub include LLMOne, LLM-VM, vllm-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.