Instructions to use VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF 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 VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16
# Run inference directly in the terminal:
./build/bin/llama cli -hf VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16

Use Docker

docker model run hf.co/VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16

Llama new
LM Studio
Jan
Ollama
How to use VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF with Ollama:
```
ollama run hf.co/VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16
```
Unsloth Desktop
Docker Model Runner
How to use VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF with Docker Model Runner:
```
docker model run hf.co/VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16
```

Lemonade

How to use VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF:BF16

Run and chat with the model

lemonade run user.Qwen2.5-Coder-7B-Instruct-Base-GGUF-BF16

List all available models

lemonade list

Atomic Chat

Qwen2.5-Coder-7B-Instruct-Base-GGUF / README.md

VanishedBrB

Upload README.md with huggingface_hub

bad227a verified over 1 year ago

preview code

Download README.md from VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF: direct link, hf CLI and curl.

Browser
Download file 591 Bytes

https://huggingface.co/VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF/resolve/main/README.md

Command line

hf download hf://VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF/README.md

curl -L -o README.md https://huggingface.co/VanishedBrB/Qwen2.5-Coder-7B-Instruct-Base-GGUF/resolve/main/README.md

Raw History Blame Contribute Delete

591 Bytes

metadata

base_model: unsloth/Qwen2.5-Coder-7B-Instruct
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - qwen2
  - gguf
license: apache-2.0
language:
  - en

Uploaded model

Developed by: VanishedBrB
License: apache-2.0
Finetuned from model : unsloth/Qwen2.5-Coder-7B-Instruct

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.