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README.md

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+---
+license: other
+license_name: sequential-hidden-decoding
+license_link: LICENSE
+base_model:
+- Qwen/Qwen3-8B-Base
+tags:
+- sequential-hidden-decoding
+- pretrained
+- base-model
+---
+
+# Sequential-Hidden-Decoding-8B-n2
+
+This is the **n=2** variant of Sequential Hidden Decoding, a method that scales sequence length by n× with only additional Embedding parameters — same Transformer, more compute per token.
+
+- **Base model:** [Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base)
+- **Scale:** 2×
+- **Additional Embedding Params:** 1.9B
+- **Training Tokens:** 75B
+- **Dtype:** bfloat16
+
+> **Note:** This is a **base model** (not instruction-tuned). It is intended for benchmarking, text completion, and as a foundation for downstream fine-tuning (SFT / RLHF). For conversational or instruction-following use cases, please fine-tune on your own data.
+
+## Key Idea
+
+Prepare *n* independent Embedding matrices to encode the same token sequence *n* times, interleave the results, and feed the *n*×-length sequence into the same Transformer. Only the last embedding of each token computes the next-token loss, while the preceding embeddings serve as implicit reasoning steps in a continuous latent space.
+
+## Results
+
+| Benchmark | # Shots | 8B Baseline | 8B scale n=2 | 8B scale n=4 | 8B scale n=8 |
+|-----------|:-------:|:-----------:|:------------:|:------------:|:------------:|
+| BBH (EM) | 3-shot | 78.8 | **81.3** | 83.0 | 83.9 |
+| MMLU (EM) | 5-shot | 79.8 | **80.9** | 81.9 | 82.2 |
+| MBPP+ (Pass@1) | 1-shot | 66.7 | **69.4** | 68.7 | 69.4 |
+| MATH (LLM-judge) | 4-shot | 56.0 | **58.2** | 60.0 | 61.1 |
+| ARC-C | 25-shot | 93.9 | **94.3** | 94.4 | 94.7 |
+| Hellaswag | 10-shot | 79.7 | **83.1** | 85.0 | 85.3 |
+| GSM8K | 4-shot | 92.5 | **93.3** | 93.9 | 94.6 |
+
+## Serving (SGLang)
+
+This model requires a patched version of [SGLang](https://github.com/sgl-project/sglang) for inference. See the [project page](https://huggingface.co/collections/tencent/sequential-hidden-decoding) for installation options (Docker image, forked repo, or manual patch).
+
+```bash
+python -m sglang.launch_server \
+    --model-path tencent/Sequential-Hidden-Decoding-8B-n2 \
+    --trust-remote-code \
+    --tp-size 1 \
+    --port 30000 --host 0.0.0.0 \
+    --chunked-prefill-size -1 \
+    --attention-backend fa3 \
+    --mem-fraction-static 0.82 \
+    --max-running-requests 32 \
+    --context-length 131072 \
+    --cuda-graph-max-bs 128 \
+    --cuda-graph-bs 1 2 4 8 16 32 64 128
+```
+
+```python
+from openai import OpenAI
+
+client = OpenAI(base_url="http://localhost:30000/v1", api_key="EMPTY")
+response = client.completions.create(
+    model="tencent/Sequential-Hidden-Decoding-8B-n2",
+    prompt="The meaning of life is",
+    max_tokens=128,
+    temperature=0,
+)
+print(response.choices[0].text)
+```
+
+## All Models
+
+| Model | Scale | Embedding Params | Training Tokens |
+|-------|:-----:|:----------------:|:---------------:|
+| [Sequential-Hidden-Decoding-8B-n2](https://huggingface.co/tencent/Sequential-Hidden-Decoding-8B-n2) | 2× | 1.9B | 75B |
+| [Sequential-Hidden-Decoding-8B-n4](https://huggingface.co/tencent/Sequential-Hidden-Decoding-8B-n4) | 4× | 3.1B | 150B |
+| [Sequential-Hidden-Decoding-8B-n8](https://huggingface.co/tencent/Sequential-Hidden-Decoding-8B-n8) | 8× | 5.6B | 187B |
+
+## Citation
+
+```bibtex
+@article{hidden_decoding_2026,
+  title   = {Sequential Hidden Decoding: Scaling Sequence Length in Pretraining},
+  year    = {2026},
+  url     = {https://welm.weixin.qq.com/posts/hidden_decoding/}
+}
+```
+
+## Contact
+
+Sijun Zhang (nepheloturbulence@gmail.com), Aiwei Liu (liuaiwei20@gmail.com)
+
+## License
+
+This model is released under the [License Terms of Sequential-Hidden-Decoding](LICENSE).