Instructions to use v8859/model 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 v8859/model 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 v8859/model:Q4_K_M # Run inference directly in the terminal: llama cli -hf v8859/model:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf v8859/model:Q4_K_M # Run inference directly in the terminal: llama cli -hf v8859/model:Q4_K_M
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 v8859/model:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf v8859/model:Q4_K_M
Use Docker
docker model run hf.co/v8859/model:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use v8859/model with Ollama:
ollama run hf.co/v8859/model:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use v8859/model with Docker Model Runner:
docker model run hf.co/v8859/model:Q4_K_M
- Lemonade
How to use v8859/model with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull v8859/model:Q4_K_M
Run and chat with the model
lemonade run user.model-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Trained with Unsloth - Ollama Modelfile
Browse files
Modelfile
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FROM phi-3.5-mini-instruct.Q4_K_M.gguf
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TEMPLATE """{{ if .System }}<|system|>
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{{ .System }}<|end|>
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{{ end }}{{ if .Prompt }}<|user|>
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{{ .Prompt }}<|end|>
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{{ end }}<|assistant|>
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{{ .Response }}<|end|>
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"""
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PARAMETER stop "<|end|>"
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PARAMETER stop "<|user|>"
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PARAMETER stop "<|assistant|>"
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PARAMETER temperature 1.5
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PARAMETER min_p 0.1
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