Instructions to use Zrald/offline-ai-models 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 Zrald/offline-ai-models 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 Zrald/offline-ai-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf Zrald/offline-ai-models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Zrald/offline-ai-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf Zrald/offline-ai-models: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 Zrald/offline-ai-models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf Zrald/offline-ai-models:Q4_K_M
Use Docker
docker model run hf.co/Zrald/offline-ai-models:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use Zrald/offline-ai-models with Ollama:
ollama run hf.co/Zrald/offline-ai-models:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Zrald/offline-ai-models with Docker Model Runner:
docker model run hf.co/Zrald/offline-ai-models:Q4_K_M
- Lemonade
How to use Zrald/offline-ai-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Zrald/offline-ai-models:Q4_K_M
Run and chat with the model
lemonade run user.offline-ai-models-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Fix Q4K entry name (was mislabeled HyperQuant)
Browse files- models/manifest.json +1 -1
models/manifest.json
CHANGED
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@@ -4,7 +4,7 @@
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"models": [
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{
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"id": "minicpm5-1b-q4k",
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-
"name": "MiniCPM5-1B
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"file": "minicpm5-1b-q4k-v1.gguf",
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| 9 |
"size": 566249056,
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"sha256": "513ee6613a5b66ee8867ea14fcd46fc63c1a6744a42bd0ca82bacc06ee831ccf",
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"models": [
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{
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"id": "minicpm5-1b-q4k",
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+
"name": "MiniCPM5-1B Q4_K_M",
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"file": "minicpm5-1b-q4k-v1.gguf",
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| 9 |
"size": 566249056,
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| 10 |
"sha256": "513ee6613a5b66ee8867ea14fcd46fc63c1a6744a42bd0ca82bacc06ee831ccf",
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