tencent/Hy-Memory-30B-A3B
text-generation model by tencent
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Model card & documentation
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Hy-Memory-30B-A3B Tencent Hunyuan Hy-Memory-30B-A3B is a compact long-term-memory writer model (3B active parameters) developed by Tencent Hunyuan to execute the write path inside external memory frameworks. It directly replaces the general-purpose LLM inside Mem0, MemOS, and Hy-Memory (covering Chat, Working, and Coding scenarios), deciding what information to retain, how precisely to represent it, and how new evidence should update the persistent memory bank. The model is trained in two stages—Memory On-Policy Distillation (OPD) followed by Attributed Memory Reinforcement Learning—and transfers directly to unseen memory frameworks such as EverMemOS. Cross-harness macro-average scores on the fixed 20% benchmark matrix. Each harness score averages six metrics equally; Overall averages the four harnesses equally. EverMemOS is held out from training. Figure 1: Hy-Memory-30B-A3B is trained inside the same deployed harness configurations in both stages. OPD supplies dense teacher supervision on student-written state chains; RL examines the resulting banks, assigns chunk-level credit, and carries the…
Read the full model card ↗ · Preview checked 2026-10-30T12:56:26.057Z
Inside the original model card — Document outline
- Model Introduction
- Two-Stage Training
- Experiments
- Evaluation Principles
- Final Cross-Harness Results
- Detailed Benchmark Results
- Table 2: Detailed results on the Mem0 harness
- Table 3: Detailed results on the Hy-Memory harness
- Table 4: Detailed results on the MemOS harness
- Table 5: Detailed results on the held-out EverMemOS harness
- Quickstart
- Resource Availability
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
tencent/Hy-Memory-30B-A3B is a text-generation model repository published by tencent on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 4,519
- Cumulative likes
- 316
- Hugging Face trending score
- 88
- Reported safetensors parameters
- 30,064,725,888
- Architecture
- HYV3ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-15T09:52:00.000Z
- Last modified
- 2026-10-16T08:12:51.000Z
Compatibility and lineage
Reported languages: en, zh
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-27T06:46:19.176Z. Daily imports are snapshots, not real-time monitoring.
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