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LFM2.5-1.2B-Instruct-DSpark-5L
tugot17/LFM2.5-1.2B-Instruct-DSpark-5L
LFM2.5-1.2B-Instruct-DSpark-5L is a machine learning model from tugot17. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sglang. The card lists the license as other.
DSpark speculative-decoding draft model for LiquidAI/LFM2.5-1.2B-Instruct: a Qwen3-style GQA block drafter (5 layers) with a low-rank Markov transition head (rank 256) and a confidence head. Block size 7 (anchor + 6 d…
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At a glance
- Library
- sglang
- License
- other
- Model type
- qwen3
- Access
- Public
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- cfaf1c80
Base models
Model card
From the Hugging Face model README
LFM2.5-1.2B-Instruct DSpark draft (5-layer)
DSpark speculative-decoding draft model for LiquidAI/LFM2.5-1.2B-Instruct: a Qwen3-style GQA block drafter (5 layers) with a low-rank Markov transition head (rank 256) and a confidence head. Block size 7 (anchor + 6 drafts), interleaved (GPT-J) RoPE.
The draft ships no vocab weights; the embedding and LM head are tied from the target at load time.
Provided to exercise LFM2 DSpark support in SGLang.
Usage (SGLang)
python -m sglang.launch_server \
--model-path LiquidAI/LFM2.5-1.2B-Instruct \
--speculative-algorithm DSPARK \
--speculative-draft-model-path tugot17/LFM2.5-1.2B-Instruct-DSpark-5L \
--speculative-draft-attention-backend flashinfer
Requires an SGLang build with DSpark and LFM2 support.
- Library
- sglang
- Type
- qwen3
- License
- other
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026