Data as of October 20, 2026 · How the score is built
Released May 26, 202632K context
LFM2.5-1.2B-JP-202606
Decision readingLFM2.5-1.2B-JP-202606 is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released May 26, 2026 — see all recent releases
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 32K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track LFM2.5-1.2B-JP-202606, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
LFM2.5-1.2B-JP-202606 is a open weight model with a 32K context window. No explicit reasoning mode is documented in this profile.
Official Liquid AI Hugging Face model card snapshot for the Japanese-capable LFM2.5-1.2B checkpoint. The source publishes Japanese benchmark suites such as JMMLU-ProX, JMMLU, JCulture, JGPQA, J-MIFEval, JFBench, JGSM8K, JMATH500, JHumanEval+, and JBFCL-v3; BenchLM keeps this row sparse until those regional benchmarks are modeled separately.
LFM2.5-1.2B-JP-202606 sits in the LFM2.5-1.2B family with LFM2.5-1.2B-Instruct, LFM2.5-1.2B-Thinking. The profile has no source-displayable benchmark row yet.
Last updated October 20, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does LFM2.5-1.2B-JP-202606 perform overall in AI benchmarks?
LFM2.5-1.2B-JP-202606 is tracked as a regional Japan model. Its published regional benchmark rows remain visible, but the global overall table excludes them so a market-specific result does not alter worldwide positions. Use the matching regional leaderboard when comparing it with locally evaluated models.
Is LFM2.5-1.2B-JP-202606 open source?
LFM2.5-1.2B-JP-202606 is an open-weight model from LiquidAI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to LFM2.5-1.2B-JP-202606?
LFM2.5-1.2B-JP-202606 belongs to the LFM2.5-1.2B family. Related tracked variants include LFM2.5-1.2B-Instruct, LFM2.5-1.2B-Thinking. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does LFM2.5-1.2B-JP-202606 have full benchmark coverage on BenchLM?
No. LFM2.5-1.2B-JP-202606 currently has 0 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of LFM2.5-1.2B-JP-202606?
LFM2.5-1.2B-JP-202606 has a reported context window of 32K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.