New Model: Spark-X2.5-4B, Spark-X2.5-1.7B
Heat trend
Collecting trend data
The percentage is based on available heat signal, not comment count or independent people.
I was browsing HF for small LLMs and run into this model. It does not seem to be a fine tune - the model has its own architecture.
https://huggingface.co/XHToken/Spark-X2.5-1.7B https://huggingface.co/XHToken/Spark-X2.5-4B
There are 4B/1.7B versions - the benchmark is quite interesting (4B is neck and neck with Qwen 3.5 9B). The HF page claims both models support native 1M context size.
Currently does not run out of the box on llama.cpp - pending this PR: https://github.com/ggml-org/llama.cpp/pull/27868
Update: GGUFs (require custom fork for now): https://huggingface.co/XHToken/Spark-X2.5-1.7B-GGUF https://huggingface.co/XHToken/Spark-X2.5-4B-GGUF