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Spark-X2.6-4B launches with 1M-token context and day-zero vLLM support
- Who
- SparkLLM
- What
- released Spark-X2.6-4B, a 4B-parameter model with 1M-token context and controllable thinking
What happened
1M tokens of context. 4B parameters. Apache 2.0. Controllable thinking. vLLM says Spark-X2.6-4B is live with day-zero serving support and congratulates @SparkLLM. In the quoted announcement, @SparkLLM reports stronger coding, agent, and long-context skills through improved post-training, with thinking options of none / low / high. https://huggingface.co/XHToken/Spark-X2.6-4B https://twitter.com/SparkLLM/status/2112614036227408363
Why it matters
The combination of 1M tokens of context, 4B parameters, and selectable thinking levels provides a concrete comparison point for readers evaluating model size and inference options.
The story so far
SparkLLM released Spark-X2.6-4B, a 4B-parameter model with a 1M-token context window and selectable thinking levels, with vLLM confirming serving support at launch. The model is available on Hugging Face under the Apache 2.0 license. Users can choose among none, low and high thinking settings. SparkLLM says improved post-training strengthened the model’s coding, agent and long-context capabilities.
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