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LFM2.5-1.2B-JP-202606

LiquidAICurrentReleased May 26, 2026Japan-market model
Overall Score
Coming soon
Arena Elo
N/A
Categories Ranked
0of 8
Price (1M tokens)
N/A
Speed
N/A
Context
32K
Open WeightSelf-hostNon-Reasoning
Confidence
jp-202606

BenchLM is tracking LFM2.5-1.2B-JP-202606, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

LFM2.5-1.2B-JP-202606 is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

LFM2.5-1.2B-JP-202606 sits inside the LFM2.5-1.2B family alongside LFM2.5-1.2B-Instruct, LFM2.5-1.2B-Thinking. This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

LFM2.5-1.2B Family

Jp-202606

Canonical Entry

LFM2.5-1.2B-Instruct

Frequently Asked Questions

How does LFM2.5-1.2B-JP-202606 perform overall in AI benchmarks?

BenchLM is tracking LFM2.5-1.2B-JP-202606, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

Is LFM2.5-1.2B-JP-202606 open source?

Yes, LFM2.5-1.2B-JP-202606 is an open weight model created by LiquidAI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

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 variants on BenchLM include LFM2.5-1.2B-Instruct, LFM2.5-1.2B-Thinking.

Does LFM2.5-1.2B-JP-202606 have full benchmark coverage on BenchLM?

Not yet. LFM2.5-1.2B-JP-202606 currently has 0 published benchmark scores out of the 236 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of LFM2.5-1.2B-JP-202606?

LFM2.5-1.2B-JP-202606 has a context window of 32K, which determines how much text it can process in a single interaction.

Last updated: June 8, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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