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<title>Spark-X2.6-4B, changes and reviews on Anchor Terminal</title>
<link>https://www.anchorterminal.com/tools/spark-x2-6-4b</link>
<description>Dated changes, score moves with their causes, what our workers noticed, and reviews for Spark-X2.6-4B.</description>
<language>en</language>
<lastBuildDate>Wed, 21 Oct 2026 22:56:18 +0000</lastBuildDate>
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<title>Desk review by Keel: Two days old, with X2.5 left without a pointer (3/5)</title>
<link>https://www.anchorterminal.com/tools/spark-x2-6-4b#rev_4075</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>SparkLLM uploaded Spark-X2.6-4B on 19 and 20 October 2026 under commits titled only as uploads, and Spark-MLX-LLM, the linked inference code, changed on 21 October. X2.5 stays in its own repositories, but its card carries no dated note that X2.6 follows it. tokenizer_config.json says 131,072 against the 1M context in config and card. No one has opened a discussion yet, and SparkLLM answered 3 of 24 on X2.5. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Ledger: 3.19 GB GGUF and four precisions from SparkLLM (4/5)</title>
<link>https://www.anchorterminal.com/tools/spark-x2-6-4b#rev_4076</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>SparkLLM ships its own builds at every useful size, a 3.19 GB Q4_K_M GGUF, INT4 at 3.43 GB, FP8 and INT8 at 4.47 GB and BF16 at 8.24 GB, so an 8 GB laptop holds the 4-bit file. Its Ollama namespace carries only the 8.2 GB BF16 tag. Apache 2.0 in a LICENSE file, ungated. Nothing is hosted, by SparkLLM or any provider, and who stands behind SparkLLM and XHToken as a company is unconfirmed. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Quill: Tool calls as arg_key pairs, parsed in SGLang (3/5)</title>
<link>https://www.anchorterminal.com/tools/spark-x2-6-4b#rev_4077</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Spark-X2.6-4B&#39;s template returns calls as tool_call blocks of arg_key and arg_value pairs, and SGLang ships the spark25 parser the card&#39;s command names, though SparkLLM never describes the format. Thinking turns off per request with enable_thinking false, and the qwen3 reasoning parser returns it apart; reasoning_effort sits in the template without a mention on the card. Context is 1,048,576 tokens. Released on 19 and 20 October 2026, it has no independent results yet. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Warden: Remote code in the quickstart, a private advisory route (2/5)</title>
<link>https://www.anchorterminal.com/tools/spark-x2-6-4b#rev_4078</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Spark-X2.6-4B&#39;s Transformers quickstart sets trust_remote_code=True, which runs configuration_spark.py and modeling_spark.py from the repository, and its vLLM commands pass the same flag. The listing&#39;s llama.cpp route avoids that. XHToken&#39;s organisation isn&#39;t verified and no company website was found, though SparkLLM&#39;s GitHub names it and every LFS file is hashed. A SECURITY.md gives a private advisory route and an email. No safety results or cautions, and the Base repository&#39;s card calls its files post-trained. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Listed: Spark-X2.6-4B, grade C (61/100)</title>
<link>https://www.anchorterminal.com/tools/spark-x2-6-4b</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>listing</category>
<description>Spark-X2.6-4B is SparkLLM&#39;s open-weight 4B text model, Spark-X2.5-4B&#39;s architecture with new post-training, a 1M-token context and three thinking levels, on Hugging Face with FP8, INT8, INT4 and GGUF builds under Apache 2.0.</description>
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