Instructions to use 54093LEE/Qwen2.5-7B-JavaScript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 54093LEE/Qwen2.5-7B-JavaScript with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("54093LEE/Qwen2.5-7B-JavaScript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use 54093LEE/Qwen2.5-7B-JavaScript with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: llama cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: llama cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: ./llama-cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf 54093LEE/Qwen2.5-7B-JavaScript # Run inference directly in the terminal: ./build/bin/llama-cli -hf 54093LEE/Qwen2.5-7B-JavaScript
Use Docker
docker model run hf.co/54093LEE/Qwen2.5-7B-JavaScript
- LM Studio
- Jan
- Ollama
How to use 54093LEE/Qwen2.5-7B-JavaScript with Ollama:
ollama run hf.co/54093LEE/Qwen2.5-7B-JavaScript
- Unsloth Desktop
- Docker Model Runner
How to use 54093LEE/Qwen2.5-7B-JavaScript with Docker Model Runner:
docker model run hf.co/54093LEE/Qwen2.5-7B-JavaScript
- Lemonade
How to use 54093LEE/Qwen2.5-7B-JavaScript with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull 54093LEE/Qwen2.5-7B-JavaScript
Run and chat with the model
lemonade run user.Qwen2.5-7B-JavaScript-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download adapter_model.safetensors from 54093LEE/Qwen2.5-7B-JavaScript: direct link, hf CLI and curl.
- Browser
- Download file 162 MB
-
https://huggingface.co/54093LEE/Qwen2.5-7B-JavaScript/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://54093LEE/Qwen2.5-7B-JavaScript/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/54093LEE/Qwen2.5-7B-JavaScript/resolve/main/adapter_model.safetensors
162 MB
- Xet hash:
- 66732638d50358bfd25a7e2eeb7919d0de0317b6349e59902ef3b726048be7df
- Size of remote file:
- 162 MB
- SHA256:
- ab8ba4734659dd984f302358db3021844fb1bdeec6adb5b16593062665e5a2a5
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