网上能查到的测试案例https://huggingface.co/datasets/ssong1/llmperf-bedrock 横向比较不同的provider,参数设置如下: 请求总数:100 并发:1 提示的令牌长度:1024 预期输出长度:1024 试验型号:claude-instant-v1-100k python token_benchmark_ray.py \ --model bedrock/anthropic.claude-instant-v1 \ --mean-in...
LLMs之Llama3:手把手教你(只需四步)基于ollama框架及其WebUI界面对LLaMA-3-8B模型进行Docker部署(打包依赖项+简化部署过程+提高可移植性)并测试对话和图像生成功能 LLMs之RAG:基于Ollama框架(开启服务器模式+加载LLMs)部署LLaMA3/Phi-3等大语言模型、并结合AnythingLLM框架(配置参数LLM Preference【LLM Provider-C...
Provider Leaderboard Martian's provider leaderboard collects metrics daily and tracks them over time to evaluate the performance of LLM inference providers on common LLMs. You can filter and sort that data based on the criteria for your use case. At Martian, we route each API request to the ...
To run the most basic load test you can the token_benchmark_ray script. Caveats and Disclaimers The endpoints provider backend might vary widely, so this is not a reflection on how the software runs on a particular hardware. The results may vary with time of day. ...
LLM Evaluation Datasets/Benchmarks: Evaluation datasets or benchmarks are collections of tasks designed to test the abilities of large language models in a consistent, standardized way. Think of them as structured tests that models have to “pass” to prove they’re capable of performing specific...
Benchmark: This is the most common method seen when a new model is released. Benchmarks provide a standard set of tasks and metrics to compare different models. Human evaluation: Involves experts reviewing outputs, which, despite being costly and prone to biases, is almost inevitable and useful...
Similarly, the cost to run Meta’s LLama 3 8B via an API provider or on your own is just 20¢ per million tokens as of May 2024, and it has similar performance to OpenAI’s text-davinci-003, the model that enabled ChatGPT to shock the world. That model also cost about $20 ...
In this paper, we try to understand this by designing a benchmark to evaluate the structural understanding capabilities of LLMs through seven distinct tasks, e.g., cell lookup, row retrieval and size detection. Specially, we perform a series of evaluations on the recent most advanced LLM ...
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM - OpenGenerativeAI/llm-colosseum
For each of the benchmark run, it is performed with the below command template from theLLMPerf repository python token_benchmark_ray.py \ --model <MODEL_NAME> \ --mean-input-tokens 550 \ --stddev-input-tokens 0 \ --mean-output-tokens 150 \ --stddev-output-tokens 0 \ --max-num-...