shiny-plan/Nemotron-Cascade-2-30B-A3B-Q4_K_M-GGUF
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Nemotron-Cascade-2-30B-A3B — Q4KM GGUF
GGUF quantization of nvidia/Nemotron-Cascade-2-30B-A3B.
- Architecture: Hybrid Attention + Mamba (SSM) + MoE — 30B total parameters, 3B active
- Quantization: Q4KM (k-quant, mixed precision ~4.5 bpw)
Quantization commands
# Convert HF model to GGUF (bf16)
python llama.cpp/convert_hf_to_gguf.py \
nvidia/Nemotron-Cascade-2-30B-A3B \
--outfile Nemotron-Cascade-2-30B-A3B-bf16.gguf \
--outtype bf16
# Quantize to Q4_K_M
llama-quantize Nemotron-Cascade-2-30B-A3B-bf16.gguf \
Nemotron-Cascade-2-30B-A3B-Q4_K_M.gguf Q4_K_MUsage
Load in LM Studio, llama.cpp, or any GGUF-compatible runtime.
