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deepgrove/maple-preview-GGUF
maple-preview-GGUF is a text generation model from deepgrove. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Custom llama.cpp fork and setup instructions: github.com/deepgrove-ai/llama.cpp
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From the Hugging Face model README
Custom llama.cpp fork and setup instructions: github.com/deepgrove-ai/llama.cpp
We include the following gguf variants:
| Variant | GGUF size |
|---|---|
| TQ1_0 + Q4_K head | 4.64 GiB |
| TQ1_0 + FP16 head | 5.06 GiB |
| TQ2_0 + Q4_K head | 5.50 GiB |
| TQ2_0 + FP16 head | 5.91 GiB |
TQ1_0 and TQ2_0 are different ternary packing schemes. Use TQ2_0 for generally faster speeds but slightly higher memory. LM-head is kept in higher precision - either Q4_k or FP16.
M5 Pro, CPU-only, 16 threads, 512 prompt tokens, 128 generated tokens, 3 repetitions:
| Matrix weights | LM head | GGUF size | Prefill (pp512) | Decode (tg128) |
|---|---|---|---|---|
| TQ1_0 | FP16 | 5.06 GiB | 515.41 ± 0.28 tokens/s | 161.06 ± 0.57 tokens/s |
| TQ1_0 | Q4_K | 4.64 GiB | 513.33 ± 3.62 tokens/s | 231.13 ± 0.13 tokens/s |
| TQ2_0 | FP16 | 5.91 GiB | 618.57 ± 2.12 tokens/s | 169.81 ± 2.94 tokens/s |
| TQ2_0 | Q4_K | 5.50 GiB | 610.48 ± 3.76 tokens/s | 252.74 ± 0.37 tokens/s |
Maple-Preview is a 20B-A1B reasoning model designed from the start for efficient on-device inference. It utilizes a 24-layer, 256-expert (8 active) configuration with 3:1 SWA-512:GA attention.
On benchmarks, Maple-Preview sets a new point on the Pareto frontier for both memory-to-performance and speed-to-performance, demonstrating its strong reasoning capabilities. However, we note that this preview is focused primarily on raw reasoning and, as such, may underperform on agentic benchmarks. We intend to continue improving general performance through extended training before Maple's full release.
Maple-Preview is released under the MIT License.