EP Rate 最终选定为 2.77。 图6:改变 1B 尺寸模型的 FFN 扩展率和宽度的性能以及速度结果,速度的衡量标准是 tokens per second 为了进一步研究深度、宽度和扩展率之间的相互作用,作者对大约 30 个不同的参数配置进行采样,同时保持 1B 参数的模型大小,并在包含 5B tokens 的进一步精简数据集上进行训练。实验结果...
Tokens per second Counts the tokens rendered per second during LLM response streaming Time to first token render Time to first token render from submission of the user prompt, measured at multiple percentiles Error rate Error rate for different types of errors such as 401 error, 429 error. Relia...
[BENCHMARK] model_name baichuan2_7b_chat world_size 1 num_heads 32 num_kv_heads 32 num_layers 32 hidden_size 4096 vocab_size 125696 precision float16 batch_size 1 input_length 32 output_length 50 gpu_peak_mem(gb) 8.682 build_time(s) 0 tokens_per_sec 60.95 percentile95(ms) 821.977 p...
[BENCHMARK] model_name baichuan2_7b_chat world_size 1 num_heads 32 num_kv_heads 32 num_layers 32 hidden_size 4096 vocab_size 125696 precision float16 batch_size 1 input_length 32 output_length 50 gpu_peak_mem(gb) 8.682 build_time(s) 0 tokens_per_sec 60.95 percentile95(ms) 821.977 p...
要计算生成响应的速度,以标记数每秒(tokens per second,token/s)为单位,可以将 eval_count / eval_duration 进行计算。 2、聊天接口 curl http://localhost:11434/api/chat -d '{ "model": "llama3:70b", "messages": [ { "role": "user", "content": "why is the sky blue?" } ] }' ...
float16 batch_size 1 input_length 128 output_length 50 gpu_peak_mem(gb) 8.721 build_time(s) 0 tokens_per_sec 59.53 percentile95(ms) 841.708 percentile99(ms) 842.755 latency(ms) 839.852 compute_cap sm86 generation_time(ms) 806.571 total_generated_tokens 49.0 generation_tokens_per_second ...
from vllm import LLM, SamplingParams llm = LLM(MODEL_DIR, tensor_parallel_size=2) sampling_params = SamplingParams( temperature=0.75, top_p=1, max_tokens=800, presence_penalty=1.15, ) instructions = "Write a poem about open source machine learning." template = """[INST] <<SYS>>\n{...
Requests Per Second (RPS)for the LLM. Tokens rendered per secondwhenstreaming(opens in new tab)the LLM response. Utility Metrics LLM features have the potential to significantly improve the user experience, however, they are expensive and can impact the performance of ...
Another significant metric to consider isthroughput, measured in tokens per second, which indicates the rate at which tokens can be generated. These values can provide insight into the model’s performance. Additionally, an equally important factor is the hardware on which the model is exe...
"max_tokens": 7, "temperature": 0 }'| jq . 输出: {"id":"cmpl-d1ba6b9f1551443e87d80258a3bedad1","object":"text_completion","created":19687093,"model":"llama-2-13b-chat-hf","choices": [ {"index":0,"text":" city that is known for its v","logprobs":null,"finish_reason...