peculiar-ragdoll/Sharp-Spark-X2.5-4B-GGUF

text-generation model by peculiar-ragdoll

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Dynamic imatrix GGUF quants of XHToken/Spark-X2.5-4B, a 4B dense long-context model, carrying our cyber-and-coding-weighted importance matrix, a heuristic per-tensor bit allocation, and the Sharp-Spark chat template. This is a small, fast, long-context coder that fits 6 GB-VRAM GPUs and still holds usable speed out to six-figure context. This is the coder model for people with a small-VRAM GPU and ≤ 16GB RAM. If you have more regular RAM than 16GB, try a (Cyber)TielCoder with partial GPU offloading instead. Its MoE architecture makes it fast even when it's split onto system RAM, and its about twice as capable. Grab the Q6KXL when you can: its performance is validated. The Q4 is a fallback. If you find yourself needing a smaller quant than Q4, you should consider picking a natively smaller model instead. Small models like this are sensitive to quantization damage below Q6. Spark is a hybrid-attention model: of its 36…

peculiar-ragdoll/Sharp-Spark-X2.5-4B-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-06T00:09:47.446Z

Inside the original model card — Document outline
  1. Sharp-Spark-X2.5-4B-GGUF
  2. Who is this for?
  3. Which quant should I download?
  4. Long context
  5. The imatrix
  6. The Sharp-Spark template
  7. Requirements
  8. Provenance & license

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

peculiar-ragdoll/Sharp-Spark-X2.5-4B-GGUF is a text-generation model repository published by peculiar-ragdoll on Hugging Face. The source reports the gguf library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
gguf
Recent downloads (30 days)
872,030
Cumulative likes
159
Hugging Face trending score
5
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-03T23:54:02.000Z
Last modified
2026-11-04T23:34:01.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: XHToken/Spark-X2.5-4B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-08T06:56:27.560Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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