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DataBubble·

Model Detail

tencent logo

HiLS-Attention-7B

—
Provider: tencentCategory: llmPipeline: text-generationParameters: 7B
DB Score
3.7
Downloads
567
Likes
16
Day
+0.0%
Week
+55.3%
Month
+0.0%
Overview

HiLS-Attention-7B is a large language model with 7B parameters released by tencent. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

HiLS-Attention-7B ships with 7B parameters. Total weight footprint is approximately 7.3 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of HiLS-Attention-7B have moved +55.3% over the trailing seven days. That puts the model in active uptrend territory; a sustained move of this size usually reflects a recent release, a viral integration, or a benchmark surprise rather than steady-state demand. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

HiLS-Attention-7B is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2607.02980→
Model Info
Licenseapache-2.0
Citations0 (0 influential)
Recent newsView all news →
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HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization

arXiv:2606.26614v2 Announce Type: replace-cross Abstract: Large language model (LLM) agents enable natural language interaction for scientific visualization (SciVis). Still, prior systems have essentially prioritized autonomy over human analytical control, thereby limiting transparency and human ove

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