New Model: Spark-X2.5-4B, Spark-X2.5-1.7B
热度趋势
趋势数据积累中
百分比基于当前可用热度信号,而非评论数或独立用户人数。
Qwen 相关模型动态已经出现,适合跟踪能力变化、生态影响和后续可用性。
Spark-X2.5-4B 和 Spark-X2.5-1.7B 两款新模型已发布,它们拥有自己的独特架构,而非微调版本。据称,4B 版本在基准测试中与 Qwen 3.5 9B 表现不相上下。这两款模型均支持原生 1M 上下文大小,并且提供了 GGUF 版本,尽管目前使用这些版本需要自定义分支。
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