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README.md
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@@ -8,22 +8,22 @@ license_link: >-
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https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md
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language:
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- en
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base_model: Qwen/Qwen2.5-VL-
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library_name: transformers
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---
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# Qwen2.5-VL-32B-Instruct-FP8-Dynamic
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## Model Overview
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- **Model Architecture:** Qwen2.5-VL-
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- **Input:** Vision-Text
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- **Output:** Text
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- **Model Optimizations:**
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- **Weight quantization:** FP8
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- **Activation quantization:** FP8
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- **Release Date:**
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- **Version:** 1.0
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- **Model Developers:**
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Quantized version of [Qwen/Qwen2.5-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct).
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@@ -43,7 +43,7 @@ from vllm import LLM, SamplingParams
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# prepare model
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llm = LLM(
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model="BCCard/Qwen2.5-VL-
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trust_remote_code=True,
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max_model_len=4096,
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max_num_seqs=2,
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https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md
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language:
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- en
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base_model: Qwen/Qwen2.5-VL-32B-Instruct
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library_name: transformers
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---
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# Qwen2.5-VL-32B-Instruct-FP8-Dynamic
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## Model Overview
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- **Model Architecture:** Qwen2.5-VL-32B-Instruct
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- **Input:** Vision-Text
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- **Output:** Text
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- **Model Optimizations:**
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- **Weight quantization:** FP8
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- **Activation quantization:** FP8
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- **Release Date:** 5/3/2025
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- **Version:** 1.0
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- **Model Developers:** BC Card
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Quantized version of [Qwen/Qwen2.5-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct).
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# prepare model
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llm = LLM(
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model="BCCard/Qwen2.5-VL-32B-Instruct-FP8-Dynamic",
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trust_remote_code=True,
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max_model_len=4096,
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max_num_seqs=2,
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