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adityabhushannagar/SmolMoE-256x360M-Q4_K_M-GGUF overview

adityabhushannagar/SmolMoE 256x360M Q4 K M GGUF This model was converted to GGUF format from bennny674/SmolMoE 256x360M https://huggingface.co/bennny674/SmolMo…

ggufllama.cppquantizedbennny674/SmolMoE-256x360Mlicense:apache-2.0region:us
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Model Details

Model IDadityabhushannagar/SmolMoE-256x360M-Q4_K_M-GGUF
Authoradityabhushannagar
Pipeline
Licenseapache-2.0
Base model
Last modified2026-06-23T06:27:46.000Z

Model README

---

tags:

  • gguf
  • llama.cpp
  • quantized
  • bennny674/SmolMoE-256x360M

license: apache-2.0

---

adityabhushannagar/SmolMoE-256x360M-Q4_K_M-GGUF

This model was converted to GGUF format from bennny674/SmolMoE-256x360M using llama.cpp via

Convert Model to GGUF.

Key Features:

  • Quantized for reduced file size (GGUF format)
  • Optimized for use with llama.cpp
  • Compatible with llama-server for efficient serving

Refer to the original model card for more details on the base model.

Usage with llama.cpp

1. Install llama.cpp:

brew install llama.cpp  # For macOS/Linux

2. Run Inference:

CLI:

llama-cli --hf-repo adityabhushannagar/SmolMoE-256x360M-Q4_K_M-GGUF --hf-file SmolMoE-256x360M-Q4_K_M-GGUF-4bit.gguf -p "Your prompt here"

Server:

llama-server --hf-repo adityabhushannagar/SmolMoE-256x360M-Q4_K_M-GGUF --hf-file SmolMoE-256x360M-Q4_K_M-GGUF-4bit.gguf -c 2048

For more advanced usage, refer to the llama.cpp repository.

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