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Qwen3-VL-8B-Instruct-metal
brics-edtech/Qwen3-VL-8B-Instruct-metal
Qwen3-VL-8B-Instruct-metal is a machine learning model from brics-edtech. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
This repository contains the fine-tuned SciReason VLM artifacts produced by the DataSphere SFT + GRPO pipeline.
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 4, 2026
- Updated
- Jul 4, 2026
- SHA
- a38a2353
Base models
Model card
From the Hugging Face model README
top-papers/Qwen3-VL-8B-Instruct-scireason
This repository contains the fine-tuned SciReason VLM artifacts produced by the DataSphere SFT + GRPO pipeline.
Contents
- Root files: final GRPO adapter and processor files copied from
outputs/hf_top_papers_qwen3vl_8b_grpo_lorafor convenient loading. artifacts/sft_lora/: SFT LoRA adapter directory copied fromoutputs/hf_top_papers_qwen3vl_8b_sft_lora.artifacts/grpo_lora/: complete final GRPO output directory copied fromoutputs/hf_top_papers_qwen3vl_8b_grpo_lora.artifacts/archives/: compressed.tar.gzarchives produced by the job.artifacts/data/: generated train/eval JSONL files and dataset summary.artifacts/reports/: budget, final summary, upload manifest and runtime reports.
Training metadata
- Base model:
Qwen/Qwen3-VL-8B-Instruct - Dataset:
top-papers/top-papers-graph-experts-data - Output prefix:
hf_top_papers_qwen3vl_8b - Uploaded at UTC:
2026-06-22T07:38:23Z
Loading note
The root of this repository is prepared as the final GRPO adapter directory. For
LoRA/PEFT loading, use the same base model listed above and load this repository
as the adapter. The complete SFT and GRPO directories are also preserved under
artifacts/ for auditability and reproducibility.
- Library
- peft
- Created
- Jul 4, 2026
- Updated
- Jul 4, 2026