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SGLang adds Day-0 support for Spark-X2.6-1.7B, a compact on-device model

AISGLang announces Day-0 support for Spark-X2.6-1.7B from SparkLLM, a model with less than half the parameters of Spark-X2.6-4B. The quoted SparkLLM post reports SWE Verified scores of 59.8 versus 62.8 and τ²-bench scores of 85.3 versus 86.9 for the two models at high thinking. The post includes a Docker command to launch the model with SGLang.
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SGLang has Day-0 support for Spark-X2.6-1.7B from @SparkLLM, a compact on-device model that stays close to Spark-X2.6-4B with less than half the parameters.

Stronger coding, agentic, and long-context
Efficient on-device inference, same architecture as Spark-X2.5-1.7B
Controllable Thinking Budget, supports none, low, and high levels

Try it with SGLang!

SparkLLM@SparkLLM
Spark-X2.6-1.7B: less than half the parameters of our 4B, close on two benchmarks: SWE Verified: 59.8 vs 62.8 τ²-bench: 85.3 vs 86.9 Both at high thinking. Try it & Like on HF! https://huggingface.co/XHToken/Spark-X2.6-1.7B @huggingface @Ollama @ModelScope2022
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Original title: SGLang has Day-0 support for Spark-X2.6-1.7B from @SparkLLM, a compact on-device model that stays close to Spark-X2.6-4B with less than h...