Upload folder using huggingface_hub
Browse files- README.md +5 -0
- modeling_internvl_chat.py +2 -1
README.md
CHANGED
@@ -144,6 +144,7 @@ model = AutoModel.from_pretrained(
|
|
144 |
path,
|
145 |
torch_dtype=torch.bfloat16,
|
146 |
low_cpu_mem_usage=True,
|
|
|
147 |
trust_remote_code=True).eval().cuda()
|
148 |
```
|
149 |
|
@@ -158,6 +159,7 @@ model = AutoModel.from_pretrained(
|
|
158 |
torch_dtype=torch.bfloat16,
|
159 |
load_in_8bit=True,
|
160 |
low_cpu_mem_usage=True,
|
|
|
161 |
trust_remote_code=True).eval()
|
162 |
```
|
163 |
|
@@ -172,6 +174,7 @@ model = AutoModel.from_pretrained(
|
|
172 |
torch_dtype=torch.bfloat16,
|
173 |
load_in_4bit=True,
|
174 |
low_cpu_mem_usage=True,
|
|
|
175 |
trust_remote_code=True).eval()
|
176 |
```
|
177 |
|
@@ -216,6 +219,7 @@ model = AutoModel.from_pretrained(
|
|
216 |
path,
|
217 |
torch_dtype=torch.bfloat16,
|
218 |
low_cpu_mem_usage=True,
|
|
|
219 |
trust_remote_code=True,
|
220 |
device_map=device_map).eval()
|
221 |
```
|
@@ -311,6 +315,7 @@ model = AutoModel.from_pretrained(
|
|
311 |
path,
|
312 |
torch_dtype=torch.bfloat16,
|
313 |
low_cpu_mem_usage=True,
|
|
|
314 |
trust_remote_code=True).eval().cuda()
|
315 |
tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True, use_fast=False)
|
316 |
|
|
|
144 |
path,
|
145 |
torch_dtype=torch.bfloat16,
|
146 |
low_cpu_mem_usage=True,
|
147 |
+
use_flash_attn=True,
|
148 |
trust_remote_code=True).eval().cuda()
|
149 |
```
|
150 |
|
|
|
159 |
torch_dtype=torch.bfloat16,
|
160 |
load_in_8bit=True,
|
161 |
low_cpu_mem_usage=True,
|
162 |
+
use_flash_attn=True,
|
163 |
trust_remote_code=True).eval()
|
164 |
```
|
165 |
|
|
|
174 |
torch_dtype=torch.bfloat16,
|
175 |
load_in_4bit=True,
|
176 |
low_cpu_mem_usage=True,
|
177 |
+
use_flash_attn=True,
|
178 |
trust_remote_code=True).eval()
|
179 |
```
|
180 |
|
|
|
219 |
path,
|
220 |
torch_dtype=torch.bfloat16,
|
221 |
low_cpu_mem_usage=True,
|
222 |
+
use_flash_attn=True,
|
223 |
trust_remote_code=True,
|
224 |
device_map=device_map).eval()
|
225 |
```
|
|
|
315 |
path,
|
316 |
torch_dtype=torch.bfloat16,
|
317 |
low_cpu_mem_usage=True,
|
318 |
+
use_flash_attn=True,
|
319 |
trust_remote_code=True).eval().cuda()
|
320 |
tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True, use_fast=False)
|
321 |
|
modeling_internvl_chat.py
CHANGED
@@ -18,7 +18,7 @@ from transformers.utils import ModelOutput, logging
|
|
18 |
|
19 |
from .configuration_internvl_chat import InternVLChatConfig
|
20 |
from .conversation import get_conv_template
|
21 |
-
from .modeling_intern_vit import InternVisionModel
|
22 |
from .modeling_phi3 import Phi3ForCausalLM
|
23 |
|
24 |
logger = logging.get_logger(__name__)
|
@@ -50,6 +50,7 @@ class InternVLChatModel(PreTrainedModel):
|
|
50 |
self.num_image_token = int((image_size // patch_size) ** 2 * (config.downsample_ratio ** 2))
|
51 |
self.downsample_ratio = config.downsample_ratio
|
52 |
self.ps_version = config.ps_version
|
|
|
53 |
config.vision_config.use_flash_attn = True if use_flash_attn else False
|
54 |
config.llm_config._attn_implementation = 'flash_attention_2' if use_flash_attn else 'eager'
|
55 |
|
|
|
18 |
|
19 |
from .configuration_internvl_chat import InternVLChatConfig
|
20 |
from .conversation import get_conv_template
|
21 |
+
from .modeling_intern_vit import InternVisionModel, has_flash_attn
|
22 |
from .modeling_phi3 import Phi3ForCausalLM
|
23 |
|
24 |
logger = logging.get_logger(__name__)
|
|
|
50 |
self.num_image_token = int((image_size // patch_size) ** 2 * (config.downsample_ratio ** 2))
|
51 |
self.downsample_ratio = config.downsample_ratio
|
52 |
self.ps_version = config.ps_version
|
53 |
+
use_flash_attn = use_flash_attn if has_flash_attn else False
|
54 |
config.vision_config.use_flash_attn = True if use_flash_attn else False
|
55 |
config.llm_config._attn_implementation = 'flash_attention_2' if use_flash_attn else 'eager'
|
56 |
|