LFM2.5 VL 3B DSpark is a language model from LiquidAI. It does not hold a position on ModelCap's current board yet; it is placed automatically once its model card or a public benchmark compares it with ranked models. Its weights are downloadable under a use-restricted licence.
Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology
OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.
Providers
Uptime measured over the last 30 minutesCurrent provider status is unavailable.
ModelCap Index · Current board
MethodologyTechnical details
- Public rank basis
- Index position pending (abstained)
- Evidence label
- Index position pending · peers unresolved
- Index support
- 0.0% · not applicable
- Identity binding
- Exact catalogue product · liquidai/LiquidAI/LFM2.5-VL-3B-DSpark · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata LiquidAI/LFM2.5-VL-3B-DSpark@af77e9306a26e8625fde74d2a3051ab6d21bd955 (not the evaluation revision)
- Index observations used
- 0
- Architecture fallback
- abstained · 0% coverage · 0 anchors
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
- Observed capability
- —
- Evidence status
- No admitted measured evidence
- General preference
- —
- Coding
- —
- Agents & tools
- —
- Reasoning
- —
- Evidence breadth
- 0%
- Evidence coverage
- 0%
- Usage (OpenRouter popularity)
- —
- Liquidity (providers × uptime)
- —
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 15.0
- Freshness
- 82.8
- · Catalogue: modalities Text/Image
- · First seen 2026-09-18
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Experimental capability estimate
Estimate policy- Confidence
- 72%
- Training support
- 221 models · 129 lineages
- Out-of-domain check
- in domain
- Feature coverage
- 71%
- Lineage-held-out error
- 8.3 MAE
Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.
Deployment readiness
Metadata index- Artifact reproducibility
- 100.0
- Access & legal clarity
- 92.5
- Deployability
- 8.0
- Evaluation provenance
- 0.0
Not yet published: a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market activity
Venue coverage- Market Gravity
- 11.6
- OpenRouter weekly popularity
- Not listed
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
Arena preference
This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.
Market Gravity breakdown
- Usage55%
- 0.0
- Liquidity25%
- 0.0
- Open reach15%
- 50.0
- Freshness5%
- 82.8
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Model ID
LiquidAI/LFM2.5-VL-3B-DSpark- Declared output cap
- Unknown
OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
- Inputs
- Text, Image
- Outputs
- Text
- Cached input tokens
- Not offered
- First seen on OpenRouter
- 18 Sept 2026
Capabilities
- Not supported: Reasoning
- Not supported: Tool use
- Not supported: Structured output
- Not supported: Response format
- Not supported: Moderated
Weights & access
Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.
- Access
- Restricted license
- Licence
- lfm1.0
- Pinned revision
- af77e9306a26
- Parameters
- 279.5M
- Architecture
- Lfm2DSparkDraftModel
- Model type
- qwen3
- Hugging Face downloads (30d)
- 832
- Downloads (all time)
- 2K
- Likes
- 21
- Repository
- LiquidAI/LFM2.5-VL-3B-DSpark
- Repository updated
- 24 Sept 2026, 14:18 UTC
- Base lineage
- LiquidAI/LFM2.5-VL-3B