LFM2.5 2.6B DSpark
LFM2.5 2.6B DSpark is a speculative-decoding draft model from Liquid AI that adapts DSpark to the LFM2.5 architecture. It serves as a drafter for the LiquidAI/LFM2.5-2.6B target model, intended to allow that model to run faster without degrading quality. It is distributed under the lfm1.0 license and has a text-generation pipeline. The model card describes use with SGLang and on-device Apple silicon via a Metal backend.
At a glance
- Parameters
- 0.33B
- Architecture
- qwen3
- Context length
- 128,000
- License
- lfm1.0
- Disk space
- 0.6 GB
- Software
- SGLang
Will it run on your machine?
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Add my hardwareBest for
- Speculative decoding as a draft model for LiquidAI/LFM2.5-2.6B
- Faster decoding of the target model in SGLang
- On-device decoding on Apple silicon through the Metal backend
- Text generation when paired with the LFM2.5-2.6B target model
- Use within the LFM2.5-DSpark family of speculative-decoding draft models
Tradeoffs
- It is a draft model for LiquidAI/LFM2.5-2.6B and is not described as a standalone model.
- Its license is lfm1.0, identified in the card as license: other.
- The supplied material does not specify supported frameworks beyond SGLang or a Metal backend.
- No independent testing or purchase recommendation is provided or implied.
- Numerical hardware requirements, compatibility, or performance beyond the supplied figures should not be inferred.
Ways to run it
SGLang · Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
python -m sglang.launch_server --model-path LiquidAI/LFM2.5-2.6B --speculative-algorithm DSPARK --speculative-draft-model-path LiquidAI/LFM2.5-2.6B-DSpark --speculative-draft-attention-backend flashinfer --disable-radix-cache --mem-fraction-static 0.75 --port 30000Explore its uses
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