Context131.1K tokens
CategoryLarge Language Model
About Maple-Preview
Maple-Preview is DeepGrove’s open-source 20B-A1B ternary-weight reasoning LLM for efficient on-device inference. The model card reports 20.2B total parameters, 1.49B active parameters, a 131,072-token context window, and 5.31 GB checkpoint size. The model card specifies 131,072 tokens of context but does not establish a separate maximum output-token limit.
Capabilities
textreasoningcodeon device inference
Input Modalities
text
Output Modalities
text
Technical Details
- API Identifier
- deepgrove/maple-preview
- Category
- Large Language Model
- Context Window
- 131,072 tokens
Tags
llmreasoning-modelon-device-aiternary-weightslow-precisionmoe
Benchmarks
Performance scores for Maple-Preview across standard benchmarks.
LiveCodeBench v6DeepGrove model card · Aug 2026
75.1
AIME 2026DeepGrove model card · Aug 2026
87.5
HMMT 2026DeepGrove model card · Aug 2026
78.8
GPQA DiamondDeepGrove model card · Aug 2026
73.5
Pricing and access
Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime.
DeepGroveai lab
Efficient low-precision language models for devices
Founded 2026Unknown
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