OpenGVLab's InternVL3.5 is a new family of open-source multimodal models that have advanced versatility, reasoning, and efficiency. I have created 𝐝𝐞𝐦𝐨 𝐧𝐨𝐭𝐞𝐛𝐨𝐨𝐤𝐬 for models ranging from 1B to 4B parameters, available in multiple versions (MPO, Instruct, Pre-trained) and in both "thinking" and "non-thinking" settings, with experimental compatibility for 𝐓𝐞𝐬𝐥𝐚 𝐓𝟒 GPUs.
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OpenGVLab's InternVL3.5 is a new family of open-source multimodal models that have advanced versatility, reasoning, and efficiency. I have created 𝐝𝐞𝐦𝐨 𝐧𝐨𝐭𝐞𝐛𝐨𝐨𝐤𝐬 for models ranging from 1B to 4B parameters, available in multiple versions (MPO, Instruct, Pre-trained) and in both "thinking" and "non-thinking" settings, with experimental compatibility for 𝐓𝐞𝐬𝐥𝐚 𝐓𝟒 GPUs.
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➠InternVL3_5_2B_MPO_Thinking: 
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➠InternVL3_5_2B_MPO_Thinking: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/1_InternVL3_5_2B_MPO_Thinking/1_InternVL3_5_2B_MPO_Thinking.ipynb
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/1_InternVL3_5_2B_MPO_Thinking/1_InternVL3_5_2B_MPO_Thinking.ipynb
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➠InternVL3_5_1B_Instruct_Thinking: 
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➠InternVL3_5_1B_Instruct_Thinking: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/2_InternVL3_5_1B_Instruct_Thinking/2_InternVL3_5_1B_Instruct_Thinking.ipynb
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/2_InternVL3_5_1B_Instruct_Thinking/2_InternVL3_5_1B_Instruct_Thinking.ipynb
link
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➠InternVL3_5-1B-MPO: 
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➠InternVL3_5-1B-MPO: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-1B-MPO/InternVL3_5_1B_MPO.ipynb
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-1B-MPO/InternVL3_5_1B_MPO.ipynb
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➠InternVL3_5-2B-MPO: 
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➠InternVL3_5-2B-MPO: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/tree/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-2B-MPO
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/tree/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-2B-MPO
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➠InternVL3_5-1B-Instruct: 
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➠InternVL3_5-1B-Instruct: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-1B-Instruct/InternVL3_5_1B_Instruct.ipynb
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-1B-Instruct/InternVL3_5_1B_Instruct.ipynb
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➠InternVL3_5-2B-Instruct: 
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➠InternVL3_5-2B-Instruct: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-2B-Instruct/InternVL3_5_2B_Instruct.ipynb
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-2B-Instruct/InternVL3_5_2B_Instruct.ipynb
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➠InternVL3_5-1B-Pretrained: 
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➠InternVL3_5-1B-Pretrained: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-1B-Pretrained/InternVL3_5_1B_Pretrained.ipynb
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-1B-Pretrained/InternVL3_5_1B_Pretrained.ipynb
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➠InternVL3_5-2B-Pretrained: 
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➠InternVL3_5-2B-Pretrained: 
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-2B-Pretrained/InternVL3_5_2B_Pretrained.ipynb
https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-2B-Pretrained/InternVL3_5_2B_Pretrained.ipynb
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no flash_attention 
```
no flash_attention 
```
code_fence
OpenGVLab's InternVL3.5 is a new family of open-source multimodal models that have advanced versatility, reasoning, and efficiency. I have created 𝐝𝐞𝐦𝐨 𝐧𝐨𝐭𝐞𝐛𝐨𝐨𝐤𝐬 for models ranging from 1B to 4B parameters, available in multiple versions (MPO, Instruct, Pre-trained) and in both "thinking" and "non-thinking" settings, with experimental compatibility for 𝐓𝐞𝐬𝐥𝐚 𝐓𝟒 GPUs.

➠InternVL3_5_2B_MPO_Thinking: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/1_InternVL3_5_2B_MPO_Thinking/1_InternVL3_5_2B_MPO_Thinking.ipynb
➠InternVL3_5_1B_Instruct_Thinking: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3.5-Thinking/2_InternVL3_5_1B_Instruct_Thinking/2_InternVL3_5_1B_Instruct_Thinking.ipynb

➠InternVL3_5-1B-MPO: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-1B-MPO/InternVL3_5_1B_MPO.ipynb
➠InternVL3_5-2B-MPO: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/tree/main/InternVL-3.5-Notebook/InternVL3_5-MPO/InternVL3_5-2B-MPO

➠InternVL3_5-1B-Instruct: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-1B-Instruct/InternVL3_5_1B_Instruct.ipynb
➠InternVL3_5-2B-Instruct: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Instruct/InternVL3_5-2B-Instruct/InternVL3_5_2B_Instruct.ipynb

➠InternVL3_5-1B-Pretrained: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-1B-Pretrained/InternVL3_5_1B_Pretrained.ipynb
➠InternVL3_5-2B-Pretrained: https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/InternVL-3.5-Notebook/InternVL3_5-Pretrained/InternVL3_5-2B-Pretrained/InternVL3_5_2B_Pretrained.ipynb

```
no flash_attention 
```
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