Visual Document Retrieval
Safetensors
ColPali
sentence-transformers
colpali_engine
qwen3_5
multimodal-retrieval
late-interaction
colqwen
ColQwen3_5
vidore
mteb
qwen3.5
model-merge
per-block-merge
MaxSim
multi-vector
Instructions to use vultr/VultronRetrieverPrime-Qwen3.5-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use vultr/VultronRetrieverPrime-Qwen3.5-8B with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- sentence-transformers
How to use vultr/VultronRetrieverPrime-Qwen3.5-8B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vultr/VultronRetrieverPrime-Qwen3.5-8B") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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"... is not valid JSON
| { | |
| "dataset_revision": "78e6f5ad3bbc1af50ae9c0f006f57462213269fb", | |
| "task_name": "VidoreShiftProjectRetrieval", | |
| "mteb_version": "2.12.30", | |
| "scores": { | |
| "test": [ | |
| { | |
| "ndcg_at_1": 0.86, | |
| "ndcg_at_3": 0.94571, | |
| "ndcg_at_5": 0.94571, | |
| "ndcg_at_10": 0.94571, | |
| "ndcg_at_20": 0.94571, | |
| "ndcg_at_100": 0.94571, | |
| "ndcg_at_1000": 0.94571, | |
| "map_at_1": 0.86, | |
| "map_at_3": 0.92667, | |
| "map_at_5": 0.92667, | |
| "map_at_10": 0.92667, | |
| "map_at_20": 0.92667, | |
| "map_at_100": 0.92667, | |
| "map_at_1000": 0.92667, | |
| "recall_at_1": 0.86, | |
| "recall_at_3": 1.0, | |
| "recall_at_5": 1.0, | |
| "recall_at_10": 1.0, | |
| "recall_at_20": 1.0, | |
| "recall_at_100": 1.0, | |
| "recall_at_1000": 1.0, | |
| "accuracy": 0.86, | |
| "precision_at_1": 0.86, | |
| "precision_at_3": 0.33333, | |
| "precision_at_5": 0.2, | |
| "precision_at_10": 0.1, | |
| "precision_at_20": 0.05, | |
| "precision_at_100": 0.01, | |
| "precision_at_1000": 0.001, | |
| "mrr_at_1": 0.86, | |
| "mrr_at_3": 0.926667, | |
| "mrr_at_5": 0.926667, | |
| "mrr_at_10": 0.926667, | |
| "mrr_at_20": 0.926667, | |
| "mrr_at_100": 0.926667, | |
| "mrr_at_1000": 0.926667, | |
| "nauc_ndcg_at_1_max": -0.296141, | |
| "nauc_ndcg_at_1_std": -0.746848, | |
| "nauc_ndcg_at_1_diff1": 0.856242, | |
| "nauc_ndcg_at_3_max": -0.338931, | |
| "nauc_ndcg_at_3_std": -0.767097, | |
| "nauc_ndcg_at_3_diff1": 0.856486, | |
| "nauc_ndcg_at_5_max": -0.338931, | |
| "nauc_ndcg_at_5_std": -0.767097, | |
| "nauc_ndcg_at_5_diff1": 0.856486, | |
| "nauc_ndcg_at_10_max": -0.338931, | |
| "nauc_ndcg_at_10_std": -0.767097, | |
| "nauc_ndcg_at_10_diff1": 0.856486, | |
| "nauc_ndcg_at_20_max": -0.338931, | |
| "nauc_ndcg_at_20_std": -0.767097, | |
| "nauc_ndcg_at_20_diff1": 0.856486, | |
| "nauc_ndcg_at_100_max": -0.338931, | |
| "nauc_ndcg_at_100_std": -0.767097, | |
| "nauc_ndcg_at_100_diff1": 0.856486, | |
| "nauc_ndcg_at_1000_max": -0.338931, | |
| "nauc_ndcg_at_1000_std": -0.767097, | |
| "nauc_ndcg_at_1000_diff1": 0.856486, | |
| "nauc_map_at_1_max": -0.296141, | |
| "nauc_map_at_1_std": -0.746848, | |
| "nauc_map_at_1_diff1": 0.856242, | |
| "nauc_map_at_3_max": -0.336469, | |
| "nauc_map_at_3_std": -0.765932, | |
| "nauc_map_at_3_diff1": 0.856472, | |
| "nauc_map_at_5_max": -0.336469, | |
| "nauc_map_at_5_std": -0.765932, | |
| "nauc_map_at_5_diff1": 0.856472, | |
| "nauc_map_at_10_max": -0.336469, | |
| "nauc_map_at_10_std": -0.765932, | |
| "nauc_map_at_10_diff1": 0.856472, | |
| "nauc_map_at_20_max": -0.336469, | |
| "nauc_map_at_20_std": -0.765932, | |
| "nauc_map_at_20_diff1": 0.856472, | |
| "nauc_map_at_100_max": -0.336469, | |
| "nauc_map_at_100_std": -0.765932, | |
| "nauc_map_at_100_diff1": 0.856472, | |
| "nauc_map_at_1000_max": -0.336469, | |
| "nauc_map_at_1000_std": -0.765932, | |
| "nauc_map_at_1000_diff1": 0.856472, | |
| "nauc_recall_at_1_max": -0.296141, | |
| "nauc_recall_at_1_std": -0.746848, | |
| "nauc_recall_at_1_diff1": 0.856242, | |
| "nauc_recall_at_3_max": NaN, | |
| "nauc_recall_at_3_std": NaN, | |
| "nauc_recall_at_3_diff1": NaN, | |
| "nauc_recall_at_5_max": NaN, | |
| "nauc_recall_at_5_std": NaN, | |
| "nauc_recall_at_5_diff1": NaN, | |
| "nauc_recall_at_10_max": NaN, | |
| "nauc_recall_at_10_std": NaN, | |
| "nauc_recall_at_10_diff1": NaN, | |
| "nauc_recall_at_20_max": NaN, | |
| "nauc_recall_at_20_std": NaN, | |
| "nauc_recall_at_20_diff1": NaN, | |
| "nauc_recall_at_100_max": NaN, | |
| "nauc_recall_at_100_std": NaN, | |
| "nauc_recall_at_100_diff1": NaN, | |
| "nauc_recall_at_1000_max": NaN, | |
| "nauc_recall_at_1000_std": NaN, | |
| "nauc_recall_at_1000_diff1": NaN, | |
| "nauc_precision_at_1_max": -0.296141, | |
| "nauc_precision_at_1_std": -0.746848, | |
| "nauc_precision_at_1_diff1": 0.856242, | |
| "nauc_precision_at_3_max": 1.0, | |
| "nauc_precision_at_3_std": 1.0, | |
| "nauc_precision_at_3_diff1": 1.0, | |
| "nauc_precision_at_5_max": 1.0, | |
| "nauc_precision_at_5_std": 1.0, | |
| "nauc_precision_at_5_diff1": 1.0, | |
| "nauc_precision_at_10_max": 1.0, | |
| "nauc_precision_at_10_std": 1.0, | |
| "nauc_precision_at_10_diff1": 1.0, | |
| "nauc_precision_at_20_max": 1.0, | |
| "nauc_precision_at_20_std": 1.0, | |
| "nauc_precision_at_20_diff1": 1.0, | |
| "nauc_precision_at_100_max": NaN, | |
| "nauc_precision_at_100_std": NaN, | |
| "nauc_precision_at_100_diff1": NaN, | |
| "nauc_precision_at_1000_max": NaN, | |
| "nauc_precision_at_1000_std": NaN, | |
| "nauc_precision_at_1000_diff1": NaN, | |
| "nauc_mrr_at_1_max": -0.296141, | |
| "nauc_mrr_at_1_std": -0.746848, | |
| "nauc_mrr_at_1_diff1": 0.856242, | |
| "nauc_mrr_at_3_max": -0.336469, | |
| "nauc_mrr_at_3_std": -0.765932, | |
| "nauc_mrr_at_3_diff1": 0.856472, | |
| "nauc_mrr_at_5_max": -0.336469, | |
| "nauc_mrr_at_5_std": -0.765932, | |
| "nauc_mrr_at_5_diff1": 0.856472, | |
| "nauc_mrr_at_10_max": -0.336469, | |
| "nauc_mrr_at_10_std": -0.765932, | |
| "nauc_mrr_at_10_diff1": 0.856472, | |
| "nauc_mrr_at_20_max": -0.336469, | |
| "nauc_mrr_at_20_std": -0.765932, | |
| "nauc_mrr_at_20_diff1": 0.856472, | |
| "nauc_mrr_at_100_max": -0.336469, | |
| "nauc_mrr_at_100_std": -0.765932, | |
| "nauc_mrr_at_100_diff1": 0.856472, | |
| "nauc_mrr_at_1000_max": -0.336469, | |
| "nauc_mrr_at_1000_std": -0.765932, | |
| "nauc_mrr_at_1000_diff1": 0.856472, | |
| "hit_rate_at_1": 0.86, | |
| "hit_rate_at_3": 1.0, | |
| "hit_rate_at_5": 1.0, | |
| "hit_rate_at_10": 1.0, | |
| "hit_rate_at_20": 1.0, | |
| "hit_rate_at_100": 1.0, | |
| "hit_rate_at_1000": 1.0, | |
| "main_score": 0.94571, | |
| "hf_subset": "default", | |
| "languages": [ | |
| "eng-Latn" | |
| ] | |
| } | |
| ] | |
| }, | |
| "evaluation_time": 116.70192742347717, | |
| "kg_co2_emissions": null, | |
| "date": 1781788418.532091 | |
| } |