ipex-llm/python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16.yaml
hxsz1997 8ef4caaf5d
add 3k and 4k input of nightly perf test on iGPU (#11701)
* Add 3k&4k input in workflow for iGPU (#11685)

* add 3k&4k input in workflow

* comment for test

* comment models for accelarate test

* remove OOM models

* modify typo

* change test model (#11696)

* reverse test models (#11700)
2024-08-01 14:17:46 +08:00

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YAML

repo_id:
- 'THUDM/chatglm3-6b'
- 'THUDM/glm-4-9b-chat'
- 'baichuan-inc/Baichuan2-7B-Chat'
- 'meta-llama/Llama-2-7b-chat-hf'
- 'meta-llama/Llama-2-13b-chat-hf'
- 'meta-llama/Meta-Llama-3-8B-Instruct'
- 'mistralai/Mistral-7B-Instruct-v0.2'
- 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
- '01-ai/Yi-6B-Chat'
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
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:
- '4096-512'
test_api:
- "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows, use fp16 for non-linear layer
cpu_embedding: True # whether put embedding to CPU (only avaiable now for gpu win related test_api)