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llama.cpp, text-generation-webui, LM Studio, Ollama, and other compatible backend frameworks.| Filename | Quant Type | File Size | Description |
|---|---|---|---|
| BitCPM4-CANN-1B-Q8_0.gguf | 8-bit | 1.73 GB | Highest quality, almost indistinguishable from the unquantized base model. Very fast inference. |
| BitCPM4-CANN-1B-Q6_K.gguf | 6-bit | 1.33 GB | Excellent quality with near-zero noticeable degradation. Highly recommended. |
| BitCPM4-CANN-1B-Q5_K_M.gguf | 5-bit | 1.16 GB | Great balance of file size, text generation speed, and logic retention. |
| BitCPM4-CANN-1B-Q5_K_S.gguf | 5-bit | 1.14 GB | Minor variant of Q5_K_M optimized slightly more for size. |
| BitCPM4-CANN-1B-Q4_K_M.gguf | 4-bit | 1.00 GB | Recommended. The ideal sweet-spot for 4-bit formats, striking an incredible performance-to-size ratio. |
| BitCPM4-CANN-1B-Q4_K_S.gguf | 4-bit | 958 MB | Extremely small and fast. Drops below the 1GB mark, making it perfect for lightweight deployments. |
| BitCPM4-CANN-1B-Q3_K_M.gguf | 3-bit | 824 MB | Maximum compression. Use only if working under severe memory bottlenecks. |
llama.cpp (Command Line)llama.cpp, you can run the model directly from your terminal. Replace the filename with the specific version you downloaded:1./llama-cli \
2 -m BitCPM4-CANN-1B-Q4_K_M.gguf \
3 -p "Explain the concept of artificial intelligence to a five-year-old." \
4 -n 256 \
5 -c 2048 \
6 --temp 0.7