C

ColQwen3.5-0.8B-Embedding

HUGGINGFACE · Unverified

Hugging Face model leo-vnuuet/ColQwen3.5-0.8B-Embedding. Task: feature extraction. Library: peft. 25 downloads. 6 likes. leo-vnuuet/ColQwen3.5-0.8B-Embedding Hugging Face model leo-vnuuet/ColQwen3.5-0.8B-Embedding. Task: feature extraction. Library: peft. 25 downloads. 6 likes. Task: feature-extraction Tags: peft, safetensors, transformers, document-retrieval, multi-vector-embedding, colpali, matryoshka, feature-extraction, dataset:vidore/colpali_train_set, dataset:llamaindex/vdr-multilingual-train, arxiv:2407.01449, base_model:Qwen/Qw

34
Rank
80
Safety
25
Downloads
6
Likes

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 25 downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Install and run

Setup complexity: low.

  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/hf-model-leo-vnuuet-colqwen3-5-0-8b-embedding-1su5na2-10/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

HUGGINGFACE

512 characters of source documentation, loaded on request.

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