Instructions to use 54093LEE/Qwen2.5-7B-JavaScript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 54093LEE/Qwen2.5-7B-JavaScript with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("54093LEE/Qwen2.5-7B-JavaScript", dtype="auto")

llama-cpp-python

How to use 54093LEE/Qwen2.5-7B-JavaScript with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="54093LEE/Qwen2.5-7B-JavaScript",
	filename="Qwen2.5-7B-JavaScript.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use 54093LEE/Qwen2.5-7B-JavaScript with llama.cpp:

Install from brew

brew install llama.cpp
# 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

Install from WinGet (Windows)

winget install llama.cpp
# 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

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 Studio new

How to use 54093LEE/Qwen2.5-7B-JavaScript with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for 54093LEE/Qwen2.5-7B-JavaScript to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for 54093LEE/Qwen2.5-7B-JavaScript to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for 54093LEE/Qwen2.5-7B-JavaScript to start chatting

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

Qwen2.5-7B-JavaScript

File size: 632 Bytes

99226a8

{
  "</tool_call>": 151658,
  "<tool_call>": 151657,
  "<|PAD_TOKEN|>": 151665,
  "<|box_end|>": 151649,
  "<|box_start|>": 151648,
  "<|endoftext|>": 151643,
  "<|file_sep|>": 151664,
  "<|fim_middle|>": 151660,
  "<|fim_pad|>": 151662,
  "<|fim_prefix|>": 151659,
  "<|fim_suffix|>": 151661,
  "<|im_end|>": 151645,
  "<|im_start|>": 151644,
  "<|image_pad|>": 151655,
  "<|object_ref_end|>": 151647,
  "<|object_ref_start|>": 151646,
  "<|quad_end|>": 151651,
  "<|quad_start|>": 151650,
  "<|repo_name|>": 151663,
  "<|video_pad|>": 151656,
  "<|vision_end|>": 151653,
  "<|vision_pad|>": 151654,
  "<|vision_start|>": 151652
}