---
title: tinyllama-15M-stories
canonical_url: "https://www.modelscope.cn/models/ModelCloud.AI/tinyllama-15M-stories"
md_url: "https://www.modelscope.cn/models/ModelCloud.AI/tinyllama-15M-stories.md"
repository: ModelCloud.AI/tinyllama-15M-stories
last_updated: 2024-12-11
license: mit
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - llama
architectures:
  - LlamaForCausalLM
parameters: 15.2M
tensor_type:
  - F16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 1195
stars: 0
---

# tinyllama-15M-stories

> tinyllama-15M-stories - ModelCloud.AI 在 ModelScope 开源的模型。This is the 15M parameter Llama 2 architecture model trained on the TinyStories dataset. These are converted from karpathy/tinyllamas. See the llama2.c project for more details.

ModelCloud.AI/tinyllama-15M-stories 是 ModelScope 魔搭社区上的 15.2M 参数text-generation模型，采用 mit 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: ModelCloud.AI/tinyllama-15M-stories
- **License**: mit
- **Tasks**: text-generation
- **Parameters**: 15.2M
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 1195
- **Stars**: 0
- **Last updated**: 2024-12-11

Source: https://www.modelscope.cn/models/ModelCloud.AI/tinyllama-15M-stories

---

This is the 15M parameter Llama 2 architecture model trained on the TinyStories dataset. 
These are converted from
[karpathy/tinyllamas](https://huggingface.co/karpathy/tinyllamas).
See the [llama2.c](https://github.com/karpathy/llama2.c) project for more details.