Instructions to use MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-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 MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M

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 MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M

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 MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M

Use Docker

docker model run hf.co/MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF with Ollama:
```
ollama run hf.co/MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF with Docker Model Runner:
```
docker model run hf.co/MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M
```

Lemonade

How to use MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MasterControlAIML/Qwen2.5-7b-QuestionMCQGeneration-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen2.5-7b-QuestionMCQGeneration-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Qwen2.5-7b-QuestionMCQGeneration-GGUF / README.md

bhaviktheslider

Update README.md

aec7b12 verified over 1 year ago

preview code

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metadata

base_model: unsloth/qwen2.5-7b-bnb-4bit
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - qwen2
  - gguf
license: apache-2.0
language:
  - en
datasets:
  - MasterControlAIML/Medmcqa-For-FinetuningQwen

Uploaded model

Model Usage: Given a context paragraph, generate a question with 4 mcq options
Training Data: MedMCQA with enhanced context (https://huggingface.co/datasets/MasterControlAIML/Medmcqa-For-FinetuningQwen)
Developed by: MasterControl
License: apache-2.0
Finetuned from model : unsloth/qwen2.5-7b-bnb-4bit

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