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Llama-3.2-11B-Vision-Instruct-int4-sym-inc

Safetensors
mllama
4-bit precision
intel/auto-round
Model card Files Community
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@@ -99,13 +99,13 @@ pip3 install git+https://github.com/open-compass/VLMEvalKit.git@7de2dcb. The eva
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  ```bash
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  auto-round-mllm --eval --model OPEA/Llama-3.2-11B-Vision-Instruct-int4-sym-inc --tasks MMBench_DEV_EN_V11,ScienceQA_VAL,TextVQA_VAL,POPE --output_dir "./eval_result"
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  ```
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- |Metric |16bits|Pile Calib INT4 |Llava Calib INT4|
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  |:-------------------|:------|:------|:------|
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- |avg |66.05 |67.81 |66.02 |
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- |MMBench_DEV_EN_V11 |52.86 |53.48 |52.17 |
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- |ScienceQA_VAL |68.86 |70.39 |69.15 |
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- |TextVQA_VAL |54.49 |59.62 |55.07 |
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- |POPE |88.00 |87.76 |87.71 |
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  ### Generate the model
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  Here is the sample command to reproduce the model.
 
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  ```bash
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  auto-round-mllm --eval --model OPEA/Llama-3.2-11B-Vision-Instruct-int4-sym-inc --tasks MMBench_DEV_EN_V11,ScienceQA_VAL,TextVQA_VAL,POPE --output_dir "./eval_result"
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  ```
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+ |Metric |16bits||Llava Calib INT4|
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  |:-------------------|:------|:------|:------|
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+ |avg |66.05 |67.81 |
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+ |MMBench_DEV_EN_V11 |52.86 |53.48 |
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+ |ScienceQA_VAL |68.86 |70.39 |
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+ |TextVQA_VAL |54.49 |59.62 |
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+ |POPE |88.00 |87.76 |
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  ### Generate the model
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  Here is the sample command to reproduce the model.