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Abiray/MiniCPM5-1B-GGUF
MiniCPM5-1B-GGUF is a text generation model from Abiray. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
This repository contains custom GGUF format quantizations of the openbmb/MiniCPM5-1B model.
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From the Hugging Face model README
This repository contains custom GGUF format quantizations of the openbmb/MiniCPM5-1B model.
MiniCPM5-1B is a highly capable 1-billion parameter Transformer built for on-device, local deployment, and resource-constrained scenarios. It utilizes a standard LlamaForCausalLM architecture, features hybrid reasoning (built-in <think> tokens), and supports a massive 131k context window.
These models were quantized specifically for high-efficiency CPU/Edge inference using the llama.cpp framework.
| Filename | Format | Size | Description |
|---|---|---|---|
minicpm5-1b-Q4_K_M.gguf | Q4_K_M | 657 MB | Excellent balance of performance and size. (Recommended for 4GB RAM/Mobile) |
minicpm5-1b-Q5_K_M.gguf | Q5_K_M | 751 MB | Higher accuracy, slight increase in size. |
minicpm5-1b-Q6_K.gguf | Q6_K | 851 MB | Near-perfect fidelity to the base model. |
minicpm5-1b-Q8_0.gguf | Q8_0 | 1.1 GB | Maximum quantized quality; fast loading. |
minicpm5-1b-f16.gguf | F16 | 2.1 GB | Unquantized master weight container. |
Because MiniCPM5-1B uses standard Llama architecture, it is fully supported by llama.cpp out of the box. No custom forks or kernels are required.
To run the model directly in your terminal using CPU threads:
./llama-cli -m minicpm5-1b-Q4_K_M.gguf -p "Artificial intelligence and local model deployment are transforming technology because" -n 256 -t 4