hf trending·meta-llama-4-scout
Meta: Llama 4 Scout
Meta: Llama 4 Scout: Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
AgentScore
13.2-8.65
-8.65 vs 24h ago
Adoption23.9
Quality—
Momentum60.0
Community—
Quality unrated · weight redistributed
DeploymentSaas
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- HN mentions (7d)0→ 0.0Wikipedia views (30d)60.2k→ 47.8
Pillar = mean of 2 scaled values = 23.9.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Reddit mentions (7d), Bluesky mentions (7d), OpenRouter tokens (30d), GitHub repos using this model, Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), GitHub stars, GitHub mentions (7d)
Model facts
Sourced from OpenRouter. Refreshes daily.
- Provider
- meta-llama
- Context
- 328k
- Max output
- 16k
- Modality
- text+image->text
- Input price
- $0.08/M
- Output price
- $0.30/M
- Tokenizer
- Llama4
- Moderated
- No
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Score envelope last computed 4m ago. Quality is Unrated — agent has no benchmark results yet.