ipex-llm/python/llm/test/benchmark/core-perf-test.yaml

30 lines
1,004 B
YAML

repo_id:
- 'THUDM/chatglm2-6b'
- 'THUDM/chatglm3-6b'
- 'baichuan-inc/Baichuan2-7B-Chat'
- 'internlm/internlm-chat-7b-8k'
- 'Qwen/Qwen-7B-Chat'
- 'BAAI/AquilaChat2-7B'
- 'meta-llama/Llama-2-7b-chat-hf'
- 'WisdomShell/CodeShell-7B'
- 'tiiuae/falcon-7b-instruct-with-patch'
local_model_hub: 'D:\llm-models'
warm_up: 1
num_trials: 3
num_beams: 1 # default to greedy search
low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
batch_size: 1 # default to 1
in_out_pairs:
- '32-32'
- '1024-128'
test_api:
- "transformer_int4"
# - "native_int4"
# - "optimize_model"
# - "pytorch_autocast_bf16"
# - "ipex_fp16_gpu" # on Intel GPU
# - "transformer_int4_gpu" # on Intel GPU
# - "optimize_model_gpu" # on Intel GPU
# - "deepspeed_transformer_int4_cpu" # on Intel SPR Server
# - "transformer_int4_gpu_win" # on Intel GPU for Windows (catch GPU peak memory)
cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)