GGUF files store all data in little-endian. On big-endian systems (AIX, z/OS), llama.cpp detects the mismatch and fails. This pre-converted model works directly.

Model Details

Field	Value
Parameters	1.7B
Architecture	LLaMA-style transformer (SmolLM)
Quantization	Q4_K_M
Context length	8,192 tokens
File	`SmolLM2-1.7B-Instruct-Q4_K_M-be.gguf` (1.0 GB)
Endianness	Big-endian
Source	HuggingFaceTB/SmolLM2-1.7B-Instruct

Note: Requires proper chat template for best results.

Performance on IBM POWER9 (AIX 7.3)

Tested at 16 threads, SMT-2:

Generation: 17.94 tok/s
Prompt processing: 14.31 tok/s

Quick Start (AIX)

bash

git clone https://gitlab.com/librepower/llama-aix.git
cd llama-aix
./scripts/fetch_upstream.sh && ./scripts/build_aix_73.sh
wget https://huggingface.co/librepowerai/SmolLM2-1.7B-Instruct-Q4_K_M-BE/resolve/main/SmolLM2-1.7B-Instruct-Q4_K_M-be.gguf
./build/bin/llama-simple -m SmolLM2-1.7B-Instruct-Q4_K_M-be.gguf -n 256 -t 16 "Your prompt"

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librepowerai/SmolLM2-1.7B-Instruct-Q4_K_M-BE

SmolLM2-1.7B-Instruct Q4_K_M — Big-Endian

Why Big-Endian?

Model Details

Performance on IBM POWER9 (AIX 7.3)

Quick Start (AIX)

Related

librepowerai/
SmolLM2-1.7B-Instruct-Q4_K_M-BE