Instructions to use labos1/labos-vlm-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use labos1/labos-vlm-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "labos1/labos-vlm-7b") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- Aligner: frozen (`freeze_aligner=true`)
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- Evaluation interval: every `250` steps
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- Checkpoint interval: every `250` steps
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- Seed / data seed: `42` / `42`
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## Run With MS-SWIFT
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Which protocol step is being performed in this video window?
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```
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Run `python generate_monitoring_prompts.py` from this folder to print example monitoring prompts that match the training/evaluation prompt style.
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## Publish
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This folder is staged for `labos1/labos-vlm-7b`. To upload after logging in with a Hugging Face token:
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```bash
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cd /data/david/models/release/labos-vlm-7b
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hf upload labos1/labos-vlm-7b . .
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```
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- Aligner: frozen (`freeze_aligner=true`)
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- Evaluation interval: every `250` steps
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- Checkpoint interval: every `250` steps
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## Run With MS-SWIFT
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Which protocol step is being performed in this video window?
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```
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Run `python generate_monitoring_prompts.py` from this folder to print example monitoring prompts that match the training/evaluation prompt style.
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