● Covered by 1 source · 1 reportLow impact1 neutral
LLMSpeed Tool Estimates Local LLM Performance on Various Hardware
Key points
- LLMSpeed estimates local LLM performance.
- Uses community benchmarks and hardware specs.
- Helps users evaluate hardware before purchase.
- The tool is open source on GitHub.
Introducing LLMSpeed
LLMSpeed is a new open-source tool designed to estimate the performance of local large language models (LLMs) on various hardware setups. The tool provides users with an indication of how fast an LLM might run on a single device for short prompts.
Data Sources and Methodology
The performance numbers presented by LLMSpeed are derived from multiple sources. Measured data comes from community benchmarks, including platforms like r/LocalLLaMA and localscore.ai. For configurations without direct benchmarks, estimates are projected from similar setups or calculated based on hardware specifications.
Hardware Evaluation Aid
The primary purpose of LLMSpeed is to assist users in making informed decisions about hardware purchases. By offering performance estimates, the tool allows individuals to 'feel how fast' a local LLM would run on specific hardware before committing to an acquisition.
Open Source Availability
LLMSpeed is available as an open-source project on GitHub. This allows for community contributions and transparency in its development and data aggregation methods.
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Primary sources
GitHub nicorobinreal/llmspeedReporting from
LLMSpeed is an open-source tool that provides performance estimates for running local large language models (LLMs) on different hardware configurations. It helps users understand potential speeds before purchasing hardware by aggregating community benchmarks and projecting performance from specifications.