Tencent Hunyuan has added GGUF‑quantized files of its Hy‑Memory‑30B‑A3B model to Hugging Face. The repo offers three sizes—24.7 GB (Q6_K), 32 GB (Q8_0) and 18.2 GB (Q4_K_M)—all passing llama.cpp checks. The model acts as a memory writer inside frameworks like Mem0 and MemOS, deciding what information to keep and how to update it. In the vendor’s benchmark, the Q6_K version achieved the highest quality score, while the Q4_K_M version is the smallest download.
Why it matters
Developers can run a specialized long‑term memory model locally without needing cloud resources, saving bandwidth and hardware costs.
