Instructions to use l3utterfly/X-Ray_Alpha-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use l3utterfly/X-Ray_Alpha-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 l3utterfly/X-Ray_Alpha-gguf:Q2_K # Run inference directly in the terminal: llama cli -hf l3utterfly/X-Ray_Alpha-gguf:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf l3utterfly/X-Ray_Alpha-gguf:Q2_K # Run inference directly in the terminal: llama cli -hf l3utterfly/X-Ray_Alpha-gguf:Q2_K
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 l3utterfly/X-Ray_Alpha-gguf:Q2_K # Run inference directly in the terminal: ./llama-cli -hf l3utterfly/X-Ray_Alpha-gguf:Q2_K
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 l3utterfly/X-Ray_Alpha-gguf:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf l3utterfly/X-Ray_Alpha-gguf:Q2_K
Use Docker
docker model run hf.co/l3utterfly/X-Ray_Alpha-gguf:Q2_K
- LM Studio
- Jan
- Ollama
How to use l3utterfly/X-Ray_Alpha-gguf with Ollama:
ollama run hf.co/l3utterfly/X-Ray_Alpha-gguf:Q2_K
- Unsloth Studio
How to use l3utterfly/X-Ray_Alpha-gguf 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 l3utterfly/X-Ray_Alpha-gguf 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 l3utterfly/X-Ray_Alpha-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for l3utterfly/X-Ray_Alpha-gguf to start chatting
- Docker Model Runner
How to use l3utterfly/X-Ray_Alpha-gguf with Docker Model Runner:
docker model run hf.co/l3utterfly/X-Ray_Alpha-gguf:Q2_K
- Lemonade
How to use l3utterfly/X-Ray_Alpha-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull l3utterfly/X-Ray_Alpha-gguf:Q2_K
Run and chat with the model
lemonade run user.X-Ray_Alpha-gguf-Q2_K
List all available models
lemonade list
- Atomic Chat
Add files using upload-large-folder tool
Browse files- .gitattributes +6 -0
- X-Ray_Alpha-Q2_K.gguf +3 -0
- X-Ray_Alpha-Q4_0.gguf +3 -0
- X-Ray_Alpha-Q4_K.gguf +3 -0
- X-Ray_Alpha-Q6_K.gguf +3 -0
- X-Ray_Alpha-Q8_0.gguf +3 -0
- X-Ray_Alpha-f32.gguf +3 -0
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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X-Ray_Alpha-mmproj.gguf filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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X-Ray_Alpha-mmproj.gguf filter=lfs diff=lfs merge=lfs -text
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X-Ray_Alpha-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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X-Ray_Alpha-f32.gguf filter=lfs diff=lfs merge=lfs -text
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X-Ray_Alpha-Q2_K.gguf
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size 1729163904
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size 4130401664
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X-Ray_Alpha-f32.gguf
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