Instructions to use FLvdW/Zeroth42-4B 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 FLvdW/Zeroth42-4B 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 FLvdW/Zeroth42-4B:Q4_K_M # Run inference directly in the terminal: llama cli -hf FLvdW/Zeroth42-4B:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf FLvdW/Zeroth42-4B:Q4_K_M # Run inference directly in the terminal: llama cli -hf FLvdW/Zeroth42-4B: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 FLvdW/Zeroth42-4B:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf FLvdW/Zeroth42-4B: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 FLvdW/Zeroth42-4B:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf FLvdW/Zeroth42-4B:Q4_K_M
Use Docker
docker model run hf.co/FLvdW/Zeroth42-4B:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use FLvdW/Zeroth42-4B with Ollama:
ollama run hf.co/FLvdW/Zeroth42-4B:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use FLvdW/Zeroth42-4B with Docker Model Runner:
docker model run hf.co/FLvdW/Zeroth42-4B:Q4_K_M
- Lemonade
How to use FLvdW/Zeroth42-4B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull FLvdW/Zeroth42-4B:Q4_K_M
Run and chat with the model
lemonade run user.Zeroth42-4B-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 2,169 Bytes
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"version": 1,
"_comment": "Golden decision table for the #42 OS installer guardrail. Single source of truth for the eval, the guardrail, and the trace matrix.",
"constraints": {
"esp_mib_min": 512,
"fs_allowlist_root": ["ext4", "btrfs", "xfs", "f2fs"],
"fs_esp": "vfat",
"mounts_allowed": ["/", "/boot", "/boot/efi", "/home", "swap"],
"install_modes": ["erase", "alongside", "manual"],
"encryption_modes": ["none", "luks"],
"swap_mib_per_gib_ram_hib": 1024
},
"profiles": [
{
"id": "nvme-500-16g-uefi",
"firmware": "uefi",
"ram_gb": 16,
"hibernation": true,
"scheme": "gpt",
"mounts": ["/", "/home", "swap"],
"root_fs": "ext4",
"swap_gb_min": 16,
"esp_mib_min": 512,
"bootloader_target": "internal",
"encryption": "optional_luks"
},
{
"id": "nvme-1tb-32g-uefi-dualboot",
"firmware": "uefi",
"ram_gb": 32,
"hibernation": true,
"scheme": "gpt",
"mounts": ["/", "/home", "swap"],
"root_fs": "ext4_or_btrfs",
"swap_gb_min": 32,
"esp_mib_min": 512,
"bootloader_target": "internal_separate_esp",
"encryption": "optional"
},
{
"id": "hdd-120-4g-bios",
"firmware": "bios",
"ram_gb": 4,
"hibernation": false,
"scheme": "mbr",
"mounts": ["/", "swap"],
"root_fs": "ext4",
"swap_gb_min": 4,
"esp_mib_min": null,
"bootloader_target": "bios_disk",
"encryption": "no"
},
{
"id": "external-usb-uefi",
"firmware": "uefi",
"ram_gb": 16,
"hibernation": false,
"scheme": "gpt",
"mounts": ["/", "/boot/efi", "swap"],
"root_fs": "ext4",
"swap_gb_min": 8,
"esp_mib_min": 512,
"bootloader_target": "usb_disk",
"encryption": "no"
},
{
"id": "laptop-8g-kde-nohib",
"firmware": "uefi",
"ram_gb": 8,
"hibernation": false,
"scheme": "gpt",
"mounts": ["/", "swap"],
"root_fs": "ext4",
"swap_gb_min": 8,
"esp_mib_min": 512,
"bootloader_target": "internal",
"encryption": "optional"
}
]
}
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