abenzerps / text-generation Open weights updated 1 week ago

Spark-X2.5-4B-GGUF

> [!IMPORTANT] > Compatibility: These GGUF files require llama.cpp b10828 or later, which includes official support for the Spark-X2.5 (spark25) architecture. Applications with a bundled runtime must use an equivalent or newer build. llama.cpp support

Params
4.0 B
Context
—
Downloads 30d
318 K
Likes
25
Commercial use: allowed apache-2.0 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 28 days
348 K192 K
Sep 27Oct 6Oct 15Oct 24

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
Spark-X2.5-4B-Q4_0.gguf Q4_0 2.4 GB 3.7 GB ✅ Runs comfortably
Spark-X2.5-4B-Q4_K_M.gguf Q4_K_M 2.6 GB 4.0 GB ✅ Runs comfortably
Spark-X2.5-4B-Q5_K_M.gguf Q5_K_M 3.0 GB 4.4 GB ✅ Runs comfortably
Spark-X2.5-4B-Q6_K.gguf Q6_K 3.4 GB 4.8 GB ✅ Runs comfortably
Spark-X2.5-4B-Q8_0.gguf Q8_0 4.4 GB 5.9 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · Q4_0
$ ollama run spark-x2-5-4b-gguf-abenzerps

# pin the quantization explicitly
$ ollama run spark-x2-5-4b-gguf-abenzerps-q4_0
est. VRAM 3.7 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
4.0 B
Licence
apache-2.0
First seen on the Hub
2026-09-01
Training datasets
undisclosed
Added to our catalog
2026-09-27
Compare with any text-generation model