Downloads · 30 days
116
25% of all-time downloads
specklabs/Speck2-140M-GGUF
Speck2-140M-GGUF is a text generation model from specklabs. Use it when you need the model to write or continue text. It is set up for llama.cpp. The card lists the license as mit.
Downloads · 30 days
116
25% of all-time downloads
All-time downloads
463
Public
Repo size
797 MB
Likes
1
Public
Click a slice to open those files.
.gguf797 MB · 100%
From the Hugging Face model README

llama.cpp-compatible GGUF builds of specklabs/Speck2-140M, pinned to
source revision 1201df613d9ee9d50909189f52e45c6fcefa3c01.
| File | Quantization | Size |
|---|---|---|
| Speck2-140M-BF16.gguf | BF16 | 361.2 MB |
| Speck2-140M-Q4_K_M.gguf | Q4_K_M | 112.9 MB |
| Speck2-140M-Q5_K_M.gguf | Q5_K_M | 130.3 MB |
| Speck2-140M-Q8_0.gguf | Q8_0 | 192.3 MB |
llama-completion -hf specklabs/Speck2-140M-GGUF:Q4_K_M -p "The meaning of life is" -n 64
The source Speck architecture and llama.cpp's LFM2 runtime implement the same alternating attention/short-convolution operators. Conversion folds the 640-to-768 input and 768-to-640 output adapters into the embeddings, zero-pads the 384-wide convolution channels to 768, and left-pads 3-tap causal kernels to 5 taps. These transformations preserve the model function apart from normal floating-point and quantization rounding.
The GGUF graph stores 180,160,768 parameters because the source's tied 640-wide embedding and two adapters become separate 768-wide input and output matrices. This compatibility transform does not add layers or model capacity.
The conversion was built with llama.cpp revision 2e88c49c90f0add8796f633fea8c3d65b975f295. Exact checksums and
conversion provenance are in conversion.json.