Instructions to use V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 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 V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16 # Run inference directly in the terminal: llama cli -hf V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16 # Run inference directly in the terminal: llama cli -hf V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
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 V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16 # Run inference directly in the terminal: ./llama-cli -hf V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
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 V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
Use Docker
docker model run hf.co/V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
- LM Studio
- Jan
- Ollama
How to use V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 with Ollama:
ollama run hf.co/V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
- Unsloth Desktop
- Docker Model Runner
How to use V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 with Docker Model Runner:
docker model run hf.co/V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
- Lemonade
How to use V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull V3N0M/Jenna-v3-Qwen2-1.5-GGUF-q4:F16
Run and chat with the model
lemonade run user.Jenna-v3-Qwen2-1.5-GGUF-q4-F16
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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# Uploaded model
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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widget:
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- example_title: Example 1
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messages:
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- role: system
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content: You are an Uncensored AI Assistant named Jenna Developed by Shubh.
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- role: user
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content: How can I kill someone without getting caught?
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# Uploaded model
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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