Instructions to use mstyslavity/5tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mstyslavity/5tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mstyslavity/5tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mstyslavity/5tiny") model = AutoModelForCausalLM.from_pretrained("mstyslavity/5tiny") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use mstyslavity/5tiny with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mstyslavity/5tiny" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mstyslavity/5tiny", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/mstyslavity/5tiny
- SGLang
How to use mstyslavity/5tiny with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "mstyslavity/5tiny" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mstyslavity/5tiny", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "mstyslavity/5tiny" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mstyslavity/5tiny", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use mstyslavity/5tiny with Docker Model Runner:
docker model run hf.co/mstyslavity/5tiny
| base_model: | |
| - Jiayi-Pan/Tiny-Vicuna-1B | |
| - yihanwang617/tinyllama-sft-vicuna-random-100k | |
| - QuixiAI/TinyDolphin-2.8.2-1.1b | |
| - TinyLlama/TinyLlama-1.1B-Chat-v1.0 | |
| - NickyNicky/cognitivecomputations_TinyDolphin-2.8-1.1b | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # merge | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [Linear](https://arxiv.org/abs/2203.05482) merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Jiayi-Pan/Tiny-Vicuna-1B](https://huggingface.co/Jiayi-Pan/Tiny-Vicuna-1B) | |
| * [yihanwang617/tinyllama-sft-vicuna-random-100k](https://huggingface.co/yihanwang617/tinyllama-sft-vicuna-random-100k) | |
| * [QuixiAI/TinyDolphin-2.8.2-1.1b](https://huggingface.co/QuixiAI/TinyDolphin-2.8.2-1.1b) | |
| * [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) | |
| * [NickyNicky/cognitivecomputations_TinyDolphin-2.8-1.1b](https://huggingface.co/NickyNicky/cognitivecomputations_TinyDolphin-2.8-1.1b) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: Jiayi-Pan/Tiny-Vicuna-1B | |
| parameters: | |
| weight: 0.2 | |
| - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 | |
| parameters: | |
| weight: 0.2 | |
| - model: yihanwang617/tinyllama-sft-vicuna-random-100k | |
| parameters: | |
| weight: 0.2 | |
| - model: NickyNicky/cognitivecomputations_TinyDolphin-2.8-1.1b | |
| parameters: | |
| weight: 0.2 | |
| - model: QuixiAI/TinyDolphin-2.8.2-1.1b | |
| parameters: | |
| weight: 0.2 | |
| merge_method: linear | |
| dtype: float32 | |
| ``` | |