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Model: 42ailab/OLMo3-190M-zh
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- zh
+tags:
+- pretrained
+- olmo3
+- chinese
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# OLMo3-190M-zh (v3, base)
+
+**从零训练的 190M 中文 base 模型**，OLMo3 canonical 架构。活水 42ailab 出品，配套《零基础 AI 大模型研发训练营》L04 预训练讲。
+
+## 用法
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+tok = AutoTokenizer.from_pretrained("42ailab/OLMo3-190M-zh")
+model = AutoModelForCausalLM.from_pretrained("42ailab/OLMo3-190M-zh")
+```
+
+## 训练
+
+- 架构：OLMo3-190M（d=768, L=12, ffn=3072, QK-Norm, SWA=4096）
+- Tokenizer：48k 中文 BPE（自训）
+- 数据：Ultra-FineWeb-zh + Fineweb-Edu-Chinese V2.1（合计 3.4B tokens）
+- 训练：Modal H100，14500 steps × 262K tokens/step，cosine 5e-4 → 5e-5
+- Final mean train loss: 3.953
+
+## 7-prompt 抽测（v3 基线）
+
+| Prompt | 结果 |
+|---|---|
+| 人工智能是 | 🟢 流畅科普 |
+| 山里有座庙 | 🟡 主题漂移 |
+| 今天天气不错，我准备 | 🟡 漂移 |
+| 北京大学位于 | 🔴 "江苏省"（错）|
+| 四大发明是 | 🔴 "铜管/铁器/铜锤/铜镐"（全错）|
+| 《红楼梦》人物 | 🟡 对错混杂 |
+| Python 是一种 | 🔴 "开源库"（错）|
+
+**合计 1 绿 / 3 黄 / 3 红** — 这是 base 的状态。改进版见 [`42ailab/OLMo3-190M-zh-v3.1`](https://huggingface.co/42ailab/OLMo3-190M-zh-v3.1)（continue pretrain 后"北大在北京"/"Python 是编程语言"等改善）。
+
+## 关系
+
+```
+v3 (本 repo) ──continue pretrain──▶ v3.1 (42ailab/OLMo3-190M-zh-v3.1)
+```
+
+## License
+
+- 权重 Apache-2.0
+- 训练数据主要 Apache-2.0；不含 Wikipedia（v3.1 才引入 wiki）
+
+## Citation
+
+```bibtex
+@misc{huoshui-olmo3-190m-zh,
+  title={OLMo3-190M-zh: Chinese Pretrain Teaching Model},
+  author={活水 AI 实验室 (42ailab) and 阳志平},
+  year={2026},
+  howpublished={\url{https://huggingface.co/42ailab/OLMo3-190M-zh}},
+  note={LLM001 Course, Lecture 04}
+}
+```

config.json

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+{
+  "architectures": [
+    "Olmo3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_implementation": "flash_attention_2",
+  "bos_token_id": 2,
+  "dtype": "bfloat16",
+  "eos_token_id": 0,
+  "hidden_act": "silu",
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_types": [
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 4096,
+  "model_type": "olmo3",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_key_value_heads": 12,
+  "pad_token_id": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 500000,
+    "rope_type": "default"
+  },
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.5.4",
+  "use_cache": false,
+  "vocab_size": 48000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": [
+    0
+  ],
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 1,
+  "transformers_version": "5.5.4",
+  "use_cache": true
+}

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": "<|bos|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|pad|>",
+  "unk_token": "<|unk|>"
+}

tokenizer_config.json

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+{
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "bos_token": "<|bos|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|pad|>",
+  "unk_token": "<|unk|>",
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "clean_up_tokenization_spaces": false,
+  "model_max_length": 4096,
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}<|im_start|>system\n{{ message['content'] }}<|im_end|>\n{% elif message['role'] == 'user' %}<|im_start|>user\n{{ message['content'] }}<|im_end|>\n{% elif message['role'] == 'assistant' %}{% generation %}<|im_start|>assistant\n{{ message['content'] }}<|im_end|>\n{% endgeneration %}{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}\n"
+}

training_args.bin

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