commit cf0c262d2c179d4cbd282a186d8ce15307c0dcfb Author: ModelHub XC Date: Tue Aug 11 15:23:18 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: SimpleStories/SimpleStories-35M Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..ffe9e67 --- /dev/null +++ b/README.md @@ -0,0 +1,89 @@ +--- +license: mit +datasets: +- lennart-finke/SimpleStories +language: +- en +tags: +- small-language-model +- story-generation +- text-generation +- efficient-nlp +- distilled-models +--- + +# SimpleStories Model Family +The SimpleStories models are a tiny model family created for interpretability research, trained on the [SimpleStories dataset](https://huggingface.co/datasets/lennart-finke/SimpleStories). + +## Usage + +```python +import torch +from transformers import AutoTokenizer, LlamaForCausalLM + + +MODEL_SIZE = "35M" +model_path = "SimpleStories/SimpleStories-{}".format(MODEL_SIZE) + +tokenizer = AutoTokenizer.from_pretrained(model_path) +model = LlamaForCausalLM.from_pretrained(model_path) +model.to("cuda") +model.eval() + +prompt = "The curious cat looked at the" + +inputs = tokenizer(prompt, return_tensors="pt", add_special_tokens=False) +input_ids = inputs.input_ids.to("cuda") + +eos_token_id = 1 + +with torch.no_grad(): + output_ids = model.generate( + input_ids=input_ids, + max_new_tokens=400, + temperature=0.7, + do_sample=True, + eos_token_id=eos_token_id +) + +output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True) +print(f"\nGenerated text:\n{output_text}") + +``` + +## Model Variants + +| Model Name | n_params | n_layers | d_model | n_heads | n_ctx | d_vocab | +|------------|----------|----------|---------|---------|-------|---------| +| SimpleStories-35M | 35 million | 12 | 512 | 8 | 512 | 4096 | +| SimpleStories-30M | 30 million | 10 | 512 | 8 | 512 | 4096 | +| SimpleStories-11M | 11 million | 6 | 384 | 6 | 512 | 4096 | +| SimpleStories-5M | 5 million | 6 | 256 | 4 | 512 | 4096 | +| SimpleStories-1.25M | 1.25 million | 4 | 128 | 4 | 512 | 4096 | + +## Performance Comparison +Model-evaluated generation quality metrics: +

+ +

+ + +## Tokenizer + +We use a custom WordPiece tokenizer with a small vocabulary size of 4096. We conducted morphological analysis and coverage gain analysis on the dataset +to build a small tokenizer without compromising on the quality of generation. + +## Dataset + +The SimpleStories dataset is a collection of short stories generated by state-of-the-art language models. It features: + +- Story annotation with high-level concepts: theme, topic, style, etc. +- Higher semantic and syntactic diversity through seeded story generation +- Generated by 2024 models +- Several NLP-metrics pre-computed to aid filtering +- ASCII-only guarantee for the English dataset + +Read the dataset paper on [arXiv](https://arxiv.org/abs/2504.09184). + +## Training +The training and evaluation scripts can be accessed at https://github.com/danbraunai/simple_stories_train diff --git a/config.json b/config.json new file mode 100644 index 0000000..aeff211 --- /dev/null +++ b/config.json @@ -0,0 +1,29 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 512, + "initializer_range": 0.02, + "intermediate_size": 1365, + "max_position_embeddings": 512, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 8, + 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