Model overview
GGUF quantizations of tencent/Hy-Memory-30B-A3B, Tencent Hunyuan's long-term-memory writer model (30B total / ~3B active MoE, 128 experts, 262K context). It replaces the general-purpose LLM in memory frameworks such as **Mem0**, **MemOS** and **Hy-Memory**, deciding what to store and how to update the memory bank. Made with llama.cpp `b11700` (architecture `hy_v3`). Files marked **imatrix: yes** were quantized with an importance matrix (`imatrix.gguf`). Calibration data: bartowski calibration_datav3 plus 200 UltraChat conversations wrapped in the model's chat template with the memory-extraction system prompt from the original model card. Requires a llama.cpp build with `hy_v3` support (`b11700` or newer was tested). Flash attention works (`-fa on`).
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。