SmolLM2-1.7B-Instruct Q4_K_M โ Big-Endian
Big-endian GGUF of HuggingFaceTB/SmolLM2-1.7B-Instruct for IBM AIX and other big-endian POWER systems.
Why Big-Endian?
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)
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"
Related
LibrePower โ Unlocking IBM Power Systems through open source. https://librepower.org | hello@librepower.org
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Model tree for librepowerai/SmolLM2-1.7B-Instruct-Q4_K_M-BE
Base model
HuggingFaceTB/SmolLM2-1.7B
Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct