Instructions to use knifeayumu/LLM_Collection 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 knifeayumu/LLM_Collection 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 knifeayumu/LLM_Collection:Q4_K_M # Run inference directly in the terminal: llama cli -hf knifeayumu/LLM_Collection:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf knifeayumu/LLM_Collection:Q4_K_M # Run inference directly in the terminal: llama cli -hf knifeayumu/LLM_Collection: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 knifeayumu/LLM_Collection:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf knifeayumu/LLM_Collection: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 knifeayumu/LLM_Collection:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf knifeayumu/LLM_Collection:Q4_K_M
Use Docker
docker model run hf.co/knifeayumu/LLM_Collection:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use knifeayumu/LLM_Collection with Ollama:
ollama run hf.co/knifeayumu/LLM_Collection:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use knifeayumu/LLM_Collection with Docker Model Runner:
docker model run hf.co/knifeayumu/LLM_Collection:Q4_K_M
- Lemonade
How to use knifeayumu/LLM_Collection with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull knifeayumu/LLM_Collection:Q4_K_M
Run and chat with the model
lemonade run user.LLM_Collection-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Rename 2024b/mixtral-8x7b-instruct-v0.1-limarp-zloss.Q6_K.gguf to Mixtral-8x7B-v0.1/mixtral-8x7b-instruct-v0.1-limarp-zloss.Q6_K.gguf
Browse files
.gitattributes
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Miqu-1-70B/MiquMaid-v3-70B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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Miqu-1-70B/Midnight-Miqu-70B-v1.5.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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Mixtral-8x7B-v0.1/NoromaidxOpenGPT4-2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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Miqu-1-70B/MiquMaid-v3-70B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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Miqu-1-70B/Midnight-Miqu-70B-v1.5.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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Mixtral-8x7B-v0.1/NoromaidxOpenGPT4-2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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Mixtral-8x7B-v0.1/mixtral-8x7b-instruct-v0.1-limarp-zloss.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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{2024b → Mixtral-8x7B-v0.1}/mixtral-8x7b-instruct-v0.1-limarp-zloss.Q6_K.gguf
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