Hy-MT1.5-1.8B-1.25bit
BenchLM is tracking Hy-MT1.5-1.8B-1.25bit, 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.
Hy-MT1.5-1.8B-1.25bit is a open weight model with a 262K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
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.
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Frequently Asked Questions
How does Hy-MT1.5-1.8B-1.25bit perform overall in AI benchmarks?
BenchLM is tracking Hy-MT1.5-1.8B-1.25bit, 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 Hy-MT1.5-1.8B-1.25bit open source?
Yes, Hy-MT1.5-1.8B-1.25bit is an open weight model created by Tencent Hunyuan, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Hy-MT1.5-1.8B-1.25bit have full benchmark coverage on BenchLM?
Not yet. Hy-MT1.5-1.8B-1.25bit currently has 0 published benchmark scores out of the 225 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 Hy-MT1.5-1.8B-1.25bit?
Hy-MT1.5-1.8B-1.25bit has a context window of 262K, which determines how much text it can process in a single interaction.
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