Unverified50% confidenceFactExact time
GLM-5.3 supports full 1M context using FP8 KV cache.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMLX fine-tuning results for GLM-5.3 support export to GGUF format.70% similarUnverifiedAfter INT8 quantization, GLM-OCR can run inference on a single consumer-grade GPU (such as an RTX 3060/4060 with 12 GB VRAM) or even some mobile NPUs.67% similarUnverifiedGGUF is the default quantization format used by Ollama, optimized specifically for CPU and hybrid inference scenarios.66% similarUnverifiedKV Cache is a standard optimization in mainstream inference engines such as vLLM, TensorRT-LLM, and SGLang.65% similarVerifiedThe llama.cpp project brought the GGUF quantization format into the mainstream, supporting multiple precision levels ranging from Q2_K to Q8_0.64% similar
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