ipex-llm/python/llm/dev/benchmark/all-in-one/config.yaml
Ziteng Zhang 8b08ad408b Add batch_size in all_in_one (#9999)
Add batch_size in all_in_one, except run_native_int4
2024-01-25 17:43:49 +08:00

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YAML

repo_id:
- 'THUDM/chatglm-6b'
- 'THUDM/chatglm2-6b'
- 'meta-llama/Llama-2-7b-chat-hf'
# - 'liuhaotian/llava-v1.5-7b' # requires a LLAVA_REPO_DIR env variables pointing to the llava dir; added only for gpu win related test_api now
local_model_hub: 'path to your local model hub'
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"
# - "transformer_autocast_bf16"
# - "ipex_fp16_gpu" # on Intel GPU
# - "bigdl_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)