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fix loading shards from local cache (#313)

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projects-g
2023-11-08 22:02:48 +05:30
committed by GitHub
parent 6282583d92
commit 5cb132cac7
3 changed files with 11 additions and 6 deletions
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6
server/gpu/modal/reflector_llm.py
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@@ -81,7 +81,8 @@ class LLM:
LLM_MODEL,
torch_dtype=getattr(torch, LLM_TORCH_DTYPE),
low_cpu_mem_usage=LLM_LOW_CPU_MEM_USAGE,
cache_dir=IMAGE_MODEL_DIR
cache_dir=IMAGE_MODEL_DIR,
local_files_only=True
)
# JSONFormer doesn't yet support generation configs
@@ -96,7 +97,8 @@ class LLM:
print("Instance llm tokenizer")
tokenizer = AutoTokenizer.from_pretrained(
LLM_MODEL,
cache_dir=IMAGE_MODEL_DIR
cache_dir=IMAGE_MODEL_DIR,
local_files_only=True
)
# move model to gpu

8
server/gpu/modal/reflector_llm_zephyr.py
View File

@@ -17,7 +17,7 @@ LLM_LOW_CPU_MEM_USAGE: bool = True
LLM_TORCH_DTYPE: str = "bfloat16"
LLM_MAX_NEW_TOKENS: int = 300
IMAGE_MODEL_DIR = "/root/llm_models"
IMAGE_MODEL_DIR = "/root/llm_models/zephyr"
stub = Stub(name="reflector-llm-zephyr")
@@ -81,7 +81,8 @@ class LLM:
LLM_MODEL,
torch_dtype=getattr(torch, LLM_TORCH_DTYPE),
low_cpu_mem_usage=LLM_LOW_CPU_MEM_USAGE,
cache_dir=IMAGE_MODEL_DIR
cache_dir=IMAGE_MODEL_DIR,
local_files_only=True
)
# JSONFormer doesn't yet support generation configs
@@ -96,7 +97,8 @@ class LLM:
print("Instance llm tokenizer")
tokenizer = AutoTokenizer.from_pretrained(
LLM_MODEL,
cache_dir=IMAGE_MODEL_DIR
cache_dir=IMAGE_MODEL_DIR,
local_files_only=True
)
gen_cfg.pad_token_id = tokenizer.eos_token_id
gen_cfg.eos_token_id = tokenizer.eos_token_id

3
server/gpu/modal/reflector_transcriber.py
View File

@@ -95,7 +95,8 @@ class Transcriber:
device=self.device,
compute_type=WHISPER_COMPUTE_TYPE,
num_workers=WHISPER_NUM_WORKERS,
download_root=WHISPER_MODEL_DIR
download_root=WHISPER_MODEL_DIR,
local_files_only=True
)
@method()