Unverified50% confidenceFactExact time
A 70.6B model using the GGUF Q4_K_M format has a weight size of about 39.8 GiB.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedThe GGUF quantized version Q4_K_M of MiniCPM 2B has a model size of only 1.56G and can run smoothly on devices with 4G VRAM.74% similarUnverifiedThe 3B version of TwIL-LM is approximately 1.78 GiB under Q4_K_M quantization and can run on a CPU or devices with only 4 GB of VRAM.74% similarUnverifiedQwen3-27B was officially released with a quantized model in GGUF format, enabling local deployment with a minimum of 8GB of VRAM.74% similarUnverifiedThe GGUF Q4_K_M quantized version of the gemma4:26b model occupies about 20,072 MiB of VRAM, and Ollama's default context window is 32,768 tokens73% similarUnverifiedQ4_K_M is a GGUF quantization format widely used in the llama.cpp community, in which weights are compressed to about 4 bits using the medium tier of the k-quant mixed quantization scheme, striking a compromise between size and precision.71% similar
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