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Model: raincandy-u/Rain-100M
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+datasets:
+- HuggingFaceFW/fineweb-edu
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+
+# 🩵 Rain-100M — Model Card
+
+**Rain-100M** is an experimental language model trained from scratch based on the **Qwen3 architecture**.
+
+## 🧠 Training & Data
+
+* **Training corpus**: `HuggingFaceFW/fineweb-edu`
+* **Total tokens**: ~**3B**
+* **Language**: English only
+* **Tokenizer**: Newly trained **16k BPE** (optimized for small/compact models)
+* **Max sequence length**: 4096
+
+**Sample training metrics**:
+
+```text
+train/grad_norm: 0.6640625
+train/learning_rate: 0.00000000002171853813
+train/loss: 3.4459
+```
+
+## 🏗️ Architecture (Qwen3-style)
+
+* **Parameters**: ~100M
+* **Layers**: 12 Transformer layers
+* **Hidden size**: 768
+* **Attention heads**: 12
+* **MLP dimension**: 2048
+* **Activation**: SiLU
+* **Weight dtype**: bfloat16
+* **RMSNorm eps**: 1e-6
+* **RoPE θ**: 10000
+* **Inference framework**: `transformers`
+
+## ⚠️ Limitations
+
+* Trained only on English data; weak or no capabilities in other languages, not suitable as a general-purpose chat model or for safety-critical use cases.
+* No system-level alignment or safety fine-tuning has been applied.
+
+## 📄 License
+
+When using this model locally, please also comply with the licenses of the `fineweb-edu` dataset and the `transformers` / Qwen3-related components.
+
+---
+
+# 中文版本
+
+# 🩵 Rain-100M — Model Card
+
+**Rain-100M** 是一个基于 **Qwen3 架构** 从零训练的实验语言模型。
+
+## 🧠 训练与数据
+
+* **训练语料**：HuggingFaceFW/fineweb-edu
+* **Tokens 数量**：约 **3B**
+* **语言**：仅英语
+* **Tokenizer**：全新训练的 **16k BPE**（面向轻量模型优化）
+* **最大序列长度**：4096
+
+**训练参数**：
+
+```
+
+train/grad_norm:0.6640625
+train/learning_rate:0.00000000002171853813
+train/loss:3.4459
+
+```
+
+## 🏗️ 模型结构（Qwen3 规格）
+
+* **参数量**：约 100M
+* **层数**：12 层 Transformer
+* **隐藏维度**：768
+* **注意力头数**：12
+* **中间层维度**：2048
+* **激活函数**：SiLU
+* **权重类型**：bfloat16
+* **RMSNorm eps**：1e-6
+* **RoPE θ**：10000
+* **推理框架**：transformers
+
+## ⚠️ 限制
+
+* 仅使用英文语料，小语言能力有限，不适合作为通用聊天或安全敏感任务；
+* 无系统对齐与安全强化。
+
+## 📄 License
+
+请在本地使用时遵循 fineweb-edu 数据集与 transformers/Qwen3 相关许可证。

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "dtype": "bfloat16",
+  "eos_token_id": 3,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 4096,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_key_value_heads": 12,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.6",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 16000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 0,
+  "transformers_version": "4.57.6"
+}

model.safetensors

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+size 194501600

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "[BOS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[EOS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[BOS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[EOS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[BOS]",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "[EOS]",
+  "extra_special_tokens": {},
+  "model_max_length": 4096,
+  "pad_token": "[PAD]",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "[UNK]"
+}