Instructions to use bayhaqieee/qwen2-7b-nlaw-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 bayhaqieee/qwen2-7b-nlaw-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 bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf bayhaqieee/qwen2-7b-nlaw-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 bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf bayhaqieee/qwen2-7b-nlaw-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 bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bayhaqieee/qwen2-7b-nlaw-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 bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M
Use Docker
docker model run hf.co/bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use bayhaqieee/qwen2-7b-nlaw-gguf with Ollama:
ollama run hf.co/bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bayhaqieee/qwen2-7b-nlaw-gguf with Docker Model Runner:
docker model run hf.co/bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M
- Lemonade
How to use bayhaqieee/qwen2-7b-nlaw-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bayhaqieee/qwen2-7b-nlaw-gguf:Q4_K_M
Run and chat with the model
lemonade run user.qwen2-7b-nlaw-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Add README
Browse files
README.md
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- llama.cpp
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---
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# qwen2-7b-nlaw-gguf : GGUF
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- For multimodal models: `llama-mtmd-cli -hf bayhaqieee/qwen2-7b-nlaw-gguf --jinja`
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## Available Model files:
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## Ollama
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An Ollama Modelfile is included for easy deployment.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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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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- gguf
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- llama.cpp
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---
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# qwen2-7b-nlaw-gguf : GGUF
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- For multimodal models: `llama-mtmd-cli -hf bayhaqieee/qwen2-7b-nlaw-gguf --jinja`
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## Available Model files:
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- `qwen2-7b.Q4_K_M.gguf`
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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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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