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
| {%- for message in messages -%} | |
| {%- set ns = namespace(text='') -%} | |
| {%- if message['content'] is string -%} | |
| {%- set ns.text = message['content'] -%} | |
| {%- else -%} | |
| {%- for item in message['content'] -%} | |
| {%- if 'text' in item -%} | |
| {%- set ns.text = ns.text + item.text -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- if task is defined and task == 'query' -%} | |
| {{- ns.text + '<|endoftext|>' * 10 -}} | |
| {%- else -%} | |
| {{- '<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>Describe the image.<|im_end|><|endoftext|>' -}} | |
| {%- endif -%} | |
| {%- endfor -%} |