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Beyond the release: Spark crosses 5M downloads and pulls

A model release puts weights in a repository. A community gives those weights new forms: a quantization, a fine-tune, a format that fits a different workflow. For Spark X2.5 + X2.6, that next chapter now includes 276 co

Beyond the release: Spark crosses 5M downloads and pulls

A model release puts weights in a repository. A community gives those weights new forms: a quantization, a fine-tune, a format that fits a different workflow.

For Spark X2.5 + X2.6, that next chapter now includes 276 community derivative models and more than 5 million known downloads and pulls across six tracked platforms. Thank you to everyone who explores, adapts and shares Spark.

SparkLLM passes 5M downloads and pulls. English data poster with Xiao Huo Miao using a phone. HF official plus derivatives: 5,050,020. Data as of November 8, 2026 UTC.

The community is a major part of this milestone

The tracked total is approximately 5,101,393 downloads and pulls:

Source Downloads / pulls Share
Official channels ~2,189,056 42.9%
Hugging Face community derivatives 2,912,337 57.1%

On Hugging Face alone, official models plus community derivatives total 5,050,020 downloads. That is part of the overall total above, not another amount to add to it.

The community snapshot includes 116 Spark X2.5 derivatives with 2,684,630 downloads, and 160 Spark X2.6 derivatives with 227,707 downloads. Selected name-based format groups include GGUF, MLX, GGUF+imatrix and ONNX.

These are different ways to explore the same model family, and a concrete record of people publishing adaptations for others to try.

Where the official-channel counts come from

Platform Known downloads / pulls
Hugging Face 2,137,683
Ollama ~28,874 pulls
ModelScope 16,887
Modelers 3,128
AtomGit 2,464
SCNet 20

The milestone covers Spark X2.5 and X2.6, including their 4B and 1.7B models and tracked variants. Community derivatives are counted separately from official model repositories.

Data snapshot: November 8, 2026 (UTC). Totals use cumulative download counters and Ollama pulls, including approximate platform counts. Platform counting methods differ, and these numbers are not unique users or a measure of production deployments. The character artwork is a concept illustration.

Make the next Spark your own

Start with a model or format that fits your setup. Keep the exact model revision and runtime alongside your results, and share what workedβ€”or what needs workβ€”with the community.

Small models. More possibilities. Thank you for helping open source keep shining.

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