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Running
on
Zero
Running
on
Zero
Commit
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742fae5
1
Parent(s):
5999d67
debuging
Browse files- app.py +1 -1
- requirements.txt +2 -2
app.py
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@@ -26,7 +26,7 @@ CAPTION_PROMPT = "Question: {}\nPlease describe the image. DO NOT try to answer
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LLM_PROMPT = """In the following text, you will receive a detailed caption of an image and a relevant question. In addition, you will be provided with a tentative model response. You goal is to answer the question using these information.\n\n### The detailed caption of the provided image: {}\n\n### Note that the caption might contain incorrect solutions, do not be misguided by them.\n\n### A problem to be solved: {}\n\n### A tentative model response: {}\n\n### Note that the above tentative response might be inaccurate (due to calculation errors, incorrect logic/reasoning and so on), under such a case, please ignore it and give your own solutions. However, if you do not have enough evidence to show it is wrong, please output the tentative response."""
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# === Initialize Models ===
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MLLM_MODEL_PATH = "
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LLM_MODEL_PATH = "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B"
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processor = AutoProcessor.from_pretrained(MLLM_MODEL_PATH)
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LLM_PROMPT = """In the following text, you will receive a detailed caption of an image and a relevant question. In addition, you will be provided with a tentative model response. You goal is to answer the question using these information.\n\n### The detailed caption of the provided image: {}\n\n### Note that the caption might contain incorrect solutions, do not be misguided by them.\n\n### A problem to be solved: {}\n\n### A tentative model response: {}\n\n### Note that the above tentative response might be inaccurate (due to calculation errors, incorrect logic/reasoning and so on), under such a case, please ignore it and give your own solutions. However, if you do not have enough evidence to show it is wrong, please output the tentative response."""
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# === Initialize Models ===
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MLLM_MODEL_PATH = "Qwen/Qwen2.5-VL-7B-Instruct"
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LLM_MODEL_PATH = "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B"
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processor = AutoProcessor.from_pretrained(MLLM_MODEL_PATH)
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requirements.txt
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@@ -1,11 +1,11 @@
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# requirements.txt records the full set of dependencies for development
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torch
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accelerate
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codetiming
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datasets
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dill
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# flash-attn
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-
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hydra-core
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liger-kernel
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numpy
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# requirements.txt records the full set of dependencies for development
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torch==2.5.0
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accelerate
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codetiming
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datasets
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dill
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# flash-attn
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https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.5cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
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hydra-core
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liger-kernel
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numpy
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