SymbolicLight V1 inference-only release

.gitattributes

@@ -0,0 +1,7 @@
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+0.8B/tokenizer/sl_tokenizer.model filter=lfs diff=lfs merge=lfs -text
+194M/tokenizer/sl_tokenizer.model filter=lfs diff=lfs merge=lfs -text

0.8B/README.md

@@ -0,0 +1,24 @@
+# SymbolicLight V1 0.8B
+
+Inference-only checkpoint:
+
+- File: `weights/pytorch/latest-inference.pt`
+- Bytes: `3,500,562,525`
+- SHA-256: `5edc3b6a6d3fb9cfaf713775133361b3ff907abf293a22ef2226785f9fbc0540`
+
+The matching tokenizer is stored in `tokenizer/`. It has 55,296 active tokens
+inside the model's 57,344-entry structural vocabulary. Do not use the 194M
+tokenizer with this checkpoint.
+
+With the 0.8B package from the public code repository:
+
+```bash
+python src/inference.py \
+  --checkpoint /path/to/latest-inference.pt \
+  --prompt "Once upon a time"
+```
+
+This checkpoint contains model tensors and inference configuration only. It
+does not contain optimizer/scaler state, counters, data-loader state, local
+paths, or training-result metadata.
+

0.8B/README.zh-CN.md

@@ -0,0 +1,22 @@
+# SymbolicLight V1 0.8B
+
+仅推理 checkpoint：
+
+- 文件：`weights/pytorch/latest-inference.pt`
+- 字节数：`3,500,562,525`
+- SHA-256：`5edc3b6a6d3fb9cfaf713775133361b3ff907abf293a22ef2226785f9fbc0540`
+
+对应 tokenizer 位于 `tokenizer/`。它在模型 57,344 个结构词表槽位中使用
+55,296 个有效 token。请勿与 194M tokenizer 混用。
+
+配合公开代码仓库中的 0.8B 包运行：
+
+```bash
+python src/inference.py \
+  --checkpoint /path/to/latest-inference.pt \
+  --prompt "Once upon a time"
+```
+
+该 checkpoint 只含模型张量及推理配置，不含优化器、scaler、训练计数、
+data-loader 状态、本地路径或训练结果元数据。
+

0.8B/tokenizer/sl_tokenizer.model

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+oid sha256:5b673c90dbcfb8e12443f839eac44b1e63a3a84f095ae4056384c9871fea4892
+size 869691

0.8B/weights/pytorch/latest-inference.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5edc3b6a6d3fb9cfaf713775133361b3ff907abf293a22ef2226785f9fbc0540
+size 3500562525

194M/README.md

@@ -0,0 +1,23 @@
+# SymbolicLight V1 194M
+
+Inference-only checkpoint:
+
+- File: `weights/pytorch/symboliclight-v1-194m-inference.pt`
+- Bytes: `776,134,571`
+- SHA-256: `871dfe12d082d896dd9f5e55186f9fb7397ba7ed2b01953f8234b3e575fce521`
+
+The matching 48K tokenizer is stored in `tokenizer/`. Do not use the 0.8B
+tokenizer with this checkpoint.
+
+With the 194M package from the public code repository:
+
+```bash
+python code/inference.py \
+  --checkpoint /path/to/symboliclight-v1-194m-inference.pt \
+  --prompt "Once upon a time"
+```
+
+This checkpoint contains model tensors and inference configuration only. It
+does not contain optimizer/scaler state, counters, data-loader state, local
+paths, or training-result metadata.
+

194M/README.zh-CN.md

@@ -0,0 +1,21 @@
+# SymbolicLight V1 194M
+
+仅推理 checkpoint：
+
+- 文件：`weights/pytorch/symboliclight-v1-194m-inference.pt`
+- 字节数：`776,134,571`
+- SHA-256：`871dfe12d082d896dd9f5e55186f9fb7397ba7ed2b01953f8234b3e575fce521`
+
+对应的 48K tokenizer 位于 `tokenizer/`。请勿与 0.8B tokenizer 混用。
+
+配合公开代码仓库中的 194M 包运行：
+
+```bash
+python code/inference.py \
+  --checkpoint /path/to/symboliclight-v1-194m-inference.pt \
+  --prompt "Once upon a time"
+```
+
+该 checkpoint 只含模型张量及推理配置，不含优化器、scaler、训练计数、
+data-loader 状态、本地路径或训练结果元数据。
+

194M/tokenizer/sl_tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4cb8ed42c85511f7831e547919941816ca98a486ba1253809366df0f4d6559e0
+size 980841

194M/weights/pytorch/symboliclight-v1-194m-inference.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:871dfe12d082d896dd9f5e55186f9fb7397ba7ed2b01953f8234b3e575fce521
+size 776134571

LICENSE

@@ -0,0 +1,200 @@
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NOTICE

@@ -0,0 +1,15 @@
+SymbolicLight V1
+Copyright 2026 Foshan SymbolicLight Technology Co., Ltd. (佛山市桐光科技有限公司)
+
+Author: Ting Liu (刘挺)
+Affiliation: SymbolicLight Research, Foshan SymbolicLight Technology Co., Ltd.
+Contact: research@symboliclight.com
+
+This is an inference-only model-artifact release. It includes one checkpoint
+for each released model scale, matching tokenizer assets, documentation, and
+integrity metadata. It does not include optimizer or scaler state, training
+records, intermediate or ablation checkpoints, private training code, corpus
+recipes, preprocessing code, or experiment launchers.
+
+Training and validation data are not distributed or licensed by this
+repository.

README.md

@@ -0,0 +1,53 @@
+---
+license: apache-2.0
+language:
+  - en
+  - zh
+library_name: pytorch
+tags:
+  - spiking-neural-networks
+  - language-model
+  - sparse-activation
+  - inference-only
+  - pytorch
+---
+
+# SymbolicLight V1
+
+This repository contains the inference-only model artifacts for SymbolicLight
+V1, described in [arXiv:2605.21333](https://arxiv.org/abs/2605.21333).
+
+The compatible model definitions, tokenizer wrappers, and minimal generation
+entry points are maintained in the
+[public code repository](https://github.com/SymbolicLight-AGI/SymbolicLight-V1).
+
+## Public scope
+
+This repository contains exactly one released checkpoint for each model scale,
+plus its matching tokenizer:
+
+| Model | Checkpoint | Bytes | SHA-256 |
+| --- | --- | ---: | --- |
+| 0.8B | `0.8B/weights/pytorch/latest-inference.pt` | 3,500,562,525 | `5edc3b6a6d3fb9cfaf713775133361b3ff907abf293a22ef2226785f9fbc0540` |
+| 194M | `194M/weights/pytorch/symboliclight-v1-194m-inference.pt` | 776,134,571 | `871dfe12d082d896dd9f5e55186f9fb7397ba7ed2b01953f8234b3e575fce521` |
+
+The checkpoint containers retain only model tensors and configuration fields
+required to construct the inference graph. They do not contain optimizer or
+gradient-scaler state, training steps, token or data counters, best-loss
+values, data-loader state, training datasets, local paths, or training-result
+metadata.
+
+Training, ablation, baseline, and intermediate checkpoints are not distributed.
+The public release supports checkpoint loading and inference reproduction; it
+does not claim end-to-end reproduction of training or paper metrics.
+
+The 0.8B and 194M tokenizers are different and must not be interchanged. See
+the model-specific READMEs and `SHA256SUMS` before loading an artifact.
+
+## License
+
+Unless a file states otherwise, the released SymbolicLight weights, tokenizer
+assets, documentation, and release metadata are licensed under Apache License
+2.0. Training and validation corpora are not included or licensed here. See
+`WEIGHTS_LICENSE.md` for the release boundary.
+

README.zh-CN.md

@@ -0,0 +1,31 @@
+# SymbolicLight V1
+
+本仓库提供 SymbolicLight V1 的**仅推理模型文件**。论文见
+[arXiv:2605.21333](https://arxiv.org/abs/2605.21333)。兼容的模型定义、
+tokenizer 运行时和最小生成入口位于
+[公开代码仓库](https://github.com/SymbolicLight-AGI/SymbolicLight-V1)。
+
+## 公开范围
+
+每个模型规模只发布一个 checkpoint，并附带对应 tokenizer：
+
+| 模型 | Checkpoint | 字节数 | SHA-256 |
+| --- | --- | ---: | --- |
+| 0.8B | `0.8B/weights/pytorch/latest-inference.pt` | 3,500,562,525 | `5edc3b6a6d3fb9cfaf713775133361b3ff907abf293a22ef2226785f9fbc0540` |
+| 194M | `194M/weights/pytorch/symboliclight-v1-194m-inference.pt` | 776,134,571 | `871dfe12d082d896dd9f5e55186f9fb7397ba7ed2b01953f8234b3e575fce521` |
+
+checkpoint 容器只保留模型张量以及构建推理图所需的配置字段，不包含优化器、
+梯度缩放器、训练步数、token 或数据计数、best loss、数据加载状态、本地路径、
+训练数据或训练结果元数据。
+
+本仓库不发布训练、消融、基线或中间 checkpoint。公开范围是 checkpoint 加载和
+推理复现，不承诺端到端复现训练过程或论文指标。
+
+0.8B 与 194M 使用不同 tokenizer，不得混用。加载前请核对各模型 README 和
+`SHA256SUMS`。
+
+## 许可证
+
+除非文件另有说明，公开的 SymbolicLight 权重、tokenizer、文档及发布元数据采用
+Apache License 2.0。训练和验证语料不在本仓库中，也不通过本仓库授权。
+

SHA256SUMS

@@ -0,0 +1,6 @@
+5edc3b6a6d3fb9cfaf713775133361b3ff907abf293a22ef2226785f9fbc0540  ./0.8B/weights/pytorch/latest-inference.pt
+5b673c90dbcfb8e12443f839eac44b1e63a3a84f095ae4056384c9871fea4892  ./0.8B/tokenizer/sl_tokenizer.model
+40a899a0791dbb6d28221796f6fdd8769ec99801f6e81a1fc64116c5c08bd93b  ./0.8B/tokenizer/sl_tokenizer.vocab
+871dfe12d082d896dd9f5e55186f9fb7397ba7ed2b01953f8234b3e575fce521  ./194M/weights/pytorch/symboliclight-v1-194m-inference.pt
+4cb8ed42c85511f7831e547919941816ca98a486ba1253809366df0f4d6559e0  ./194M/tokenizer/sl_tokenizer.model
+2f28d1806673ad90cf96776d2439ebc5f4b246257fdb1cafd0a539622e9900d1  ./194M/tokenizer/vocab.txt

WEIGHTS_LICENSE.md

@@ -0,0 +1,20 @@
+# SymbolicLight V1 Weights License
+
+Unless a file states otherwise, the SymbolicLight model weights, tokenizer
+assets, documentation, and release metadata in this repository are licensed
+under the Apache License, Version 2.0.
+
+## Data exclusion
+
+This license does not grant rights to training or validation data used for the
+original research. Raw text, source identifiers, source manifests, corpus
+recipes, preprocessing code, and download URLs are not included.
+
+## Checkpoint scope
+
+The distributed checkpoints are inference-only artifacts. They contain model
+tensors and the configuration required to construct the inference graph. They
+do not include optimizer state, mixed-precision scaler state, training steps,
+token or data counters, best-loss values, data-loader state, local paths, or
+other training-result metadata.
+