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FahadPrimeX/FahadPrimeX-b27-GGUF
FahadPrimeX-b27-GGUF is a machine learning model from FahadPrimeX. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
First-generation GGUF build (Q4KM, 16.5GB) of the original release — superseded by V2-GGUF (best measured quality) and V3-GGUF (identity-fixed).
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From the Hugging Face model README
First-generation GGUF build (Q4_K_M, 16.5GB) of the original release — superseded by V2-GGUF (best measured quality) and V3-GGUF (identity-fixed).
Works with llama.cpp / Ollama / LM Studio:
ollama run hf.co/FahadPrimeX/FahadPrimeX-b27-V3-GGUF:FahadPrimeX-b27-V3-Q4_K_M
A hybrid 64-layer design: 48 linear-attention layers (DeltaNet-style, constant-memory recurrence) interleaved with 16 full-attention layers (every 4th layer), plus one MTP/nextn draft layer used only by the original spec (excluded from our GGUF exports via --no-nextn so block_count matches the real 64 blocks).