This repository contains quantized GGUF formats of the openbmb/BitCPM4-CANN-8B model, heavily optimized for local inference using llama.cpp, text-generation-webui, LM Studio, Ollama, and other compatible backend frameworks.

Model Information

Original Model: openbmb/BitCPM4-CANN-8B
Architecture: MiniCPM / BitCPM (8 Billion Parameters)

Available Files & Hardware Compatibility

The following quantization formats are available. As an 8-Billion parameter model, these variants offer excellent reasoning, coding, and comprehension capabilities while remaining small enough to run entirely on consumer GPUs (like the RTX 3060/4060 series) or modern system RAM.

Filename	Quant Type	File Size	Description
BitCPM4-CANN-8B-Q8_0.gguf	8-bit	8.70 GB	Extremely high fidelity. Practically identical to the unquantized base model. Recommended if you have 12GB+ of VRAM/RAM.
BitCPM4-CANN-8B-Q6_K.gguf	6-bit	6.72 GB	Exceptional performance with near-zero degradation. Highly stable for complex instructions.
BitCPM4-CANN-8B-Q5_K_M.gguf	5-bit	5.81 GB	Highly recommended balance of file size, text generation speed, and response accuracy.
BitCPM4-CANN-8B-Q5_K_S.gguf	5-bit	5.67 GB	A slightly lighter version of the 5-bit intermediate format, maximizing speed over minor edge-case logic.
BitCPM4-CANN-8B-Q4_K_M.gguf	4-bit	4.97 GB	Recommended. The absolute sweet spot for 8B models. Keeps the model under 5GB while preserving most of its native intelligence.
BitCPM4-CANN-8B-Q4_K_S.gguf	4-bit	4.72 GB	Optimized heavily for speed and low memory impact, perfect for constrained environments.
BitCPM4-CANN-8B-Q3_K_M.gguf	3-bit	4.02 GB	Maximum compression. Fits easily into lower-tier hardware, though some fallback in complex logic may occur.

How to Run

Using `llama.cpp` (Command Line)

If you have compiled llama.cpp, you can run the model directly from your terminal. Replace the filename with the specific version you downloaded:

bash

./llama-cli \
  -m BitCPM4-CANN-8B-Q4_K_M.gguf \
  -p "Explain the concept of artificial intelligence to a five-year-old." \
  -n 256 \
  -c 2048 \
  --temp 0.7

Abiray/BitCPM4-CANN-8B-GGUF

Abiray/BitCPM4-CANN-8B-GGUF

Model Information

Available Files & Hardware Compatibility

How to Run

Using llama.cpp (Command Line)

Abiray/
BitCPM4-CANN-8B-GGUF

Using `llama.cpp` (Command Line)