Instructions to use brics-edtech/Qwen3-VL-8B-Instruct-metal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use brics-edtech/Qwen3-VL-8B-Instruct-metal with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-8B-Instruct") model = PeftModel.from_pretrained(base_model, "brics-edtech/Qwen3-VL-8B-Instruct-metal") - Notebooks
- Google Colab
- Kaggle
| { | |
| "source_mode": "export", | |
| "dataset_id": "top-papers/top-papers-graph-experts-data", | |
| "revision": "main", | |
| "export_subdir": "exports/colab-run-001", | |
| "snapshot_dir": "/job/.cache/huggingface/hub/datasets--top-papers--top-papers-graph-experts-data/snapshots/1f1968b6604ffe12b9f6a4d1d5425ba19f097f14", | |
| "export_dir": "/job/.cache/huggingface/hub/datasets--top-papers--top-papers-graph-experts-data/snapshots/1f1968b6604ffe12b9f6a4d1d5425ba19f097f14/exports/colab-run-001", | |
| "eval_ratio": 0.1, | |
| "seed": 42, | |
| "max_sft_samples": 0, | |
| "max_grpo_samples": 0, | |
| "raw_sft_rows_total": 2548, | |
| "raw_grpo_rows_total": 1960, | |
| "sample_limited_asset_download": false, | |
| "asset_patterns_requested": 0, | |
| "max_images_per_example_sft": 0, | |
| "max_images_per_example_grpo": 0, | |
| "sft": { | |
| "rows": 2548, | |
| "image_refs_before_cap": 3291, | |
| "image_refs_after_cap": 3291, | |
| "missing_image_refs": 0, | |
| "rows_with_truncated_images": 0, | |
| "duplicate_ids": {}, | |
| "task_family_counts": { | |
| "assertion_reconstruction": 1428, | |
| "trajectory_reasoning": 1120 | |
| }, | |
| "train": 2293, | |
| "eval": 255 | |
| }, | |
| "grpo": { | |
| "rows": 1960, | |
| "image_refs_before_cap": 12046, | |
| "image_refs_after_cap": 12046, | |
| "missing_image_refs": 0, | |
| "rows_with_truncated_images": 0, | |
| "duplicate_ids": {}, | |
| "task_family_counts": { | |
| "assertion_review_rl": 1960 | |
| }, | |
| "train": 1764, | |
| "eval": 196 | |
| }, | |
| "outputs": { | |
| "sft_train": "/job/data/derived/hf_top_papers_graph_experts/sft_train.jsonl", | |
| "sft_eval": "/job/data/derived/hf_top_papers_graph_experts/sft_eval.jsonl", | |
| "grpo_train": "/job/data/derived/hf_top_papers_graph_experts/grpo_train.jsonl", | |
| "grpo_eval": "/job/data/derived/hf_top_papers_graph_experts/grpo_eval.jsonl" | |
| } | |
| } |