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Add model phi-3-vision-128k-instruct to iGPU-perf benchmark #11554

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Jul 10, 2024
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31 changes: 31 additions & 0 deletions python/llm/dev/benchmark/all-in-one/run.py
Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,8 @@

LLAVA_IDS = ['liuhaotian/llava-v1.5-7b']

PHI3VISION_IDS = ['microsoft/phi-3-vision-128k-instruct']

results = []
excludes = []

Expand Down Expand Up @@ -914,6 +916,13 @@ def run_transformer_int4_gpu_win(repo_id,
trust_remote_code=True, use_cache=True, cpu_embedding=cpu_embedding).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
model = model.to('xpu')
elif repo_id in PHI3VISION_IDS:
model = AutoModelForCausalLM.from_pretrained(model_path, optimize_model=True, load_in_low_bit=low_bit,
_attn_implementation="eager",
modules_to_not_convert=["vision_embed_tokens"],
trust_remote_code=True, use_cache=True, cpu_embedding=cpu_embedding).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
model = model.to('xpu')
else:
model = AutoModelForCausalLM.from_pretrained(model_path, optimize_model=True, load_in_low_bit=low_bit,
trust_remote_code=True, use_cache=True, cpu_embedding=cpu_embedding).eval()
Expand Down Expand Up @@ -1021,6 +1030,14 @@ def run_transformer_int4_fp16_gpu_win(repo_id,
torch_dtype=torch.float16).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
model = model.to('xpu')
elif repo_id in PHI3VISION_IDS:
model = AutoModelForCausalLM.from_pretrained(model_path, optimize_model=True, load_in_low_bit=low_bit,
_attn_implementation="eager",
modules_to_not_convert=["vision_embed_tokens"],
trust_remote_code=True, use_cache=True, cpu_embedding=cpu_embedding,
torch_dtype=torch.float16).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
model = model.to('xpu')
else:
model = AutoModelForCausalLM.from_pretrained(model_path, optimize_model=True, load_in_low_bit=low_bit,
trust_remote_code=True, use_cache=True, cpu_embedding=cpu_embedding,
Expand Down Expand Up @@ -1125,6 +1142,13 @@ def run_transformer_int4_loadlowbit_gpu_win(repo_id,
use_cache=True, cpu_embedding=cpu_embedding).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path+'-'+low_bit, trust_remote_code=True)
model = model.to('xpu')
elif repo_id in PHI3VISION_IDS:
model = AutoModelForCausalLM.load_low_bit(model_path+'-'+low_bit, optimize_model=True, trust_remote_code=True,
_attn_implementation="eager",
modules_to_not_convert=["vision_embed_tokens"],
use_cache=True, cpu_embedding=cpu_embedding).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path+'-'+low_bit, trust_remote_code=True)
model = model.to('xpu')
else:
model = AutoModelForCausalLM.load_low_bit(model_path+'-'+low_bit, optimize_model=True, trust_remote_code=True,
use_cache=True, cpu_embedding=cpu_embedding).eval()
Expand Down Expand Up @@ -1228,6 +1252,13 @@ def run_transformer_int4_fp16_loadlowbit_gpu_win(repo_id,
use_cache=True, cpu_embedding=cpu_embedding).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path+'-'+low_bit, trust_remote_code=True)
model = model.half().to('xpu')
elif repo_id in PHI3VISION_IDS:
model = AutoModelForCausalLM.load_low_bit(model_path+'-'+low_bit, optimize_model=True, trust_remote_code=True,
_attn_implementation="eager",
modules_to_not_convert=["vision_embed_tokens"],
use_cache=True, cpu_embedding=cpu_embedding).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path+'-'+low_bit, trust_remote_code=True)
model = model.half().to('xpu')
else:
model = AutoModelForCausalLM.load_low_bit(model_path+'-'+low_bit, optimize_model=True, trust_remote_code=True,
use_cache=True, cpu_embedding=cpu_embedding).eval()
Expand Down
8 changes: 7 additions & 1 deletion python/llm/dev/benchmark/all-in-one/save.py
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@
import sys
import gc

from run import LLAMA_IDS, CHATGLM_IDS, LLAVA_IDS, get_model_path
from run import LLAMA_IDS, CHATGLM_IDS, LLAVA_IDS, PHI3VISION_IDS, get_model_path

current_dir = os.path.dirname(os.path.realpath(__file__))

Expand Down Expand Up @@ -51,6 +51,12 @@ def save_model_in_low_bit(repo_id,
model = AutoModelForCausalLM.from_pretrained(model_path, load_in_low_bit=low_bit, optimize_model=True,
trust_remote_code=True, use_cache=True).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
elif repo_id in PHI3VISION_IDS:
model = AutoModelForCausalLM.from_pretrained(model_path, optimize_model=True, load_in_low_bit=low_bit,
_attn_implementation="eager",
modules_to_not_convert=["vision_embed_tokens"],
trust_remote_code=True, use_cache=True).eval()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
else:
model = AutoModelForCausalLM.from_pretrained(model_path, optimize_model=True, load_in_low_bit=low_bit,
trust_remote_code=True, use_cache=True).eval()
Expand Down
4 changes: 2 additions & 2 deletions python/llm/test/benchmark/igpu-perf/1024-128.yaml
Original file line number Diff line number Diff line change
@@ -1,4 +1,6 @@
repo_id:
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'THUDM/chatglm3-6b'
- 'THUDM/glm-4-9b-chat'
- 'baichuan-inc/Baichuan2-7B-Chat'
Expand All @@ -7,8 +9,6 @@ repo_id:
- 'meta-llama/Llama-2-13b-chat-hf'
- 'meta-llama/Meta-Llama-3-8B-Instruct'
- 'mistralai/Mistral-7B-Instruct-v0.2'
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
- 'RWKV/v5-Eagle-7B-HF'
- '01-ai/Yi-6B-Chat'
Expand Down
1 change: 1 addition & 0 deletions python/llm/test/benchmark/igpu-perf/1024-128_437.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@ repo_id:
- 'Qwen/Qwen2-7B-Instruct'
- 'microsoft/Phi-3-mini-4k-instruct'
- 'microsoft/Phi-3-mini-128k-instruct'
- 'microsoft/phi-3-vision-128k-instruct'
local_model_hub: 'path to your local model hub'
warm_up: 1
num_trials: 3
Expand Down
4 changes: 2 additions & 2 deletions python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16.yaml
Original file line number Diff line number Diff line change
@@ -1,4 +1,6 @@
repo_id:
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'THUDM/chatglm3-6b'
- 'THUDM/glm-4-9b-chat'
- 'baichuan-inc/Baichuan2-7B-Chat'
Expand All @@ -7,8 +9,6 @@ repo_id:
- 'meta-llama/Llama-2-13b-chat-hf'
- 'meta-llama/Meta-Llama-3-8B-Instruct'
- 'mistralai/Mistral-7B-Instruct-v0.2'
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
- '01-ai/Yi-6B-Chat'
local_model_hub: 'path to your local model hub'
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@ repo_id:
- 'Qwen/Qwen2-7B-Instruct'
- 'microsoft/Phi-3-mini-4k-instruct'
- 'microsoft/Phi-3-mini-128k-instruct'
- 'microsoft/phi-3-vision-128k-instruct'
local_model_hub: 'path to your local model hub'
warm_up: 1
num_trials: 3
Expand Down
Original file line number Diff line number Diff line change
@@ -1,4 +1,6 @@
repo_id:
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'THUDM/chatglm3-6b'
- 'THUDM/glm-4-9b-chat'
- 'baichuan-inc/Baichuan2-7B-Chat'
Expand All @@ -7,8 +9,6 @@ repo_id:
- 'meta-llama/Llama-2-13b-chat-hf'
- 'meta-llama/Meta-Llama-3-8B-Instruct'
- 'mistralai/Mistral-7B-Instruct-v0.2'
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
- '01-ai/Yi-6B-Chat'
local_model_hub: 'path to your local model hub'
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@ repo_id:
- 'Qwen/Qwen2-7B-Instruct'
- 'microsoft/Phi-3-mini-4k-instruct'
- 'microsoft/Phi-3-mini-128k-instruct'
- 'microsoft/phi-3-vision-128k-instruct'
local_model_hub: 'path to your local model hub'
warm_up: 1
num_trials: 3
Expand Down
4 changes: 2 additions & 2 deletions python/llm/test/benchmark/igpu-perf/2048-256_int4_fp16.yaml
Original file line number Diff line number Diff line change
@@ -1,4 +1,6 @@
repo_id:
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'THUDM/chatglm3-6b'
- 'THUDM/glm-4-9b-chat'
- 'baichuan-inc/Baichuan2-7B-Chat'
Expand All @@ -7,8 +9,6 @@ repo_id:
- 'meta-llama/Llama-2-13b-chat-hf'
- 'meta-llama/Meta-Llama-3-8B-Instruct'
- 'mistralai/Mistral-7B-Instruct-v0.2'
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
- '01-ai/Yi-6B-Chat'
local_model_hub: 'path to your local model hub'
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@ repo_id:
- 'Qwen/Qwen2-7B-Instruct'
- 'microsoft/Phi-3-mini-4k-instruct'
- 'microsoft/Phi-3-mini-128k-instruct'
- 'microsoft/phi-3-vision-128k-instruct'
local_model_hub: 'path to your local model hub'
warm_up: 1
num_trials: 3
Expand Down
4 changes: 2 additions & 2 deletions python/llm/test/benchmark/igpu-perf/32-32_int4_fp16.yaml
Original file line number Diff line number Diff line change
@@ -1,4 +1,6 @@
repo_id:
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'THUDM/chatglm3-6b'
- 'THUDM/glm-4-9b-chat'
- 'baichuan-inc/Baichuan2-7B-Chat'
Expand All @@ -7,8 +9,6 @@ repo_id:
- 'meta-llama/Llama-2-13b-chat-hf'
- 'meta-llama/Meta-Llama-3-8B-Instruct'
- 'mistralai/Mistral-7B-Instruct-v0.2'
- 'openbmb/MiniCPM-1B-sft-bf16'
- 'openbmb/MiniCPM-2B-sft-bf16'
- 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
- '01-ai/Yi-6B-Chat'
local_model_hub: 'path to your local model hub'
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@ repo_id:
- 'Qwen/Qwen2-7B-Instruct'
- 'microsoft/Phi-3-mini-4k-instruct'
- 'microsoft/Phi-3-mini-128k-instruct'
- 'microsoft/phi-3-vision-128k-instruct'
local_model_hub: 'path to your local model hub'
warm_up: 3
num_trials: 5
Expand Down
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