ramalama-run - Man Page

run specified AI Model as a chatbot

Synopsis

ramalama run [options] model [arg ...]

Model Transports

Transports	Prefix	Web Site
URL based	https://, http://, file://	https://web.site/ai.model, file://tmp/ai.model
HuggingFace	huggingface://, hf://, hf.co/	huggingface.co
Ollama	ollama://	ollama.com
OCI Container Registries	oci://	opencontainers.org
		Examples: quay.io, Docker Hub,Artifactory

RamaLama defaults to the Ollama registry transport. This default can be overridden in the ramalama.conf file or via the RAMALAMA_TRANSPORTS environment. export RAMALAMA_TRANSPORT=huggingface Changes RamaLama to use huggingface transport.

Modify individual model transports by specifying the huggingface://, oci://, ollama://, https://, http://, file:// prefix to the model.

URL support means if a model is on a web site or even on your local system, you can run it directly.

Options

--authfile=password

path of the authentication file for OCI registries

--ctx-size, -c

size of the prompt context (default: 2048, 0 = loaded from model)

--device

Add a host device to the container. Optional permissions parameter can be used to specify device permissions by combining r for read, w for write, and m for mknod(2).

Example: --device=/dev/dri/renderD128:/dev/xvdc:rwm

The device specification is passed directly to the underlying container engine. See documentation of the supported container engine for more information.

--env=

Set environment variables inside of the container.

This option allows arbitrary environment variables that are available for the process to be launched inside of the container. If an environment variable is specified without a value, the container engine checks the host environment for a value and set the variable only if it is set on the host.

--help, -h

show this help message and exit

--keepalive

duration to keep a model loaded (e.g. 5m)

--name, -n

name of the container to run the Model in

--network=none

set the network mode for the container

--ngl

number of gpu layers, 0 means CPU inferencing, 999 means use max layers (default: -1) The default -1, means use whatever is automatically deemed appropriate (0 or 999)

--oci-runtime

Override the default OCI runtime used to launch the container. Container engines like Podman and Docker, have their own default oci runtime that they use. Using this option RamaLama will override these defaults.

On Nvidia based GPU systems, RamaLama defaults to using the nvidia-container-runtime. Use this option to override this selection.

--privileged

By default, RamaLama containers are unprivileged (=false) and cannot, for example, modify parts of the operating system. This is because by de‐ fault a container is only allowed limited access to devices. A "privi‐ leged" container is given the same access to devices as the user launch‐ ing the container, with the exception of virtual consoles (/dev/tty\d+) when running in systemd mode (--systemd=always).

A privileged container turns off the security features that isolate the container from the host. Dropped Capabilities, limited devices, read- only mount points, Apparmor/SELinux separation, and Seccomp filters are all disabled. Due to the disabled security features, the privileged field should almost never be set as containers can easily break out of confinement.

Containers running in a user namespace (e.g., rootless containers) can‐ not have more privileges than the user that launched them.

--pull=policy

Pull image policy. The default is missing.

always: Always pull the image and throw an error if the pull fails.
missing: Only pull the image when it does not exist in the local containers storage. Throw an error if no image is found and the pull fails.
never: Never pull the image but use the one from the local containers storage. Throw an error when no image is found.
newer: Pull if the image on the registry is newer than the one in the local containers storage. An image is considered to be newer when the digests are different. Comparing the time stamps is prone to errors. Pull errors are suppressed if a local image was found.

--rag=

Specify path to Retrieval-Augmented Generation (RAG) database or an OCI Image containing a RAG database

--runtime-args=“args”

Add args to the runtime (llama.cpp or vllm) invocation.

--seed=

Specify seed rather than using random seed model interaction

--temp=“0.8”

Temperature of the response from the AI Model llama.cpp explains this as:

The lower the number is, the more deterministic the response.

The higher the number is the more creative the response is, but more likely to hallucinate when set too high.

Usage: Lower numbers are good for virtual assistants where we need deterministic responses. Higher numbers are good for roleplay or creative tasks like editing stories

--threads, -t

maximum number of cpu threads to use for inferencing The default -1, uses the default of the underlying implementation

--tls-verify=true

require HTTPS and verify certificates when contacting OCI registries

Description

Run specified AI Model as a chat bot. RamaLama pulls specified AI Model from registry if it does not exist in local storage. By default a prompt for a chat bot is started. When arguments are specified, the arguments will be given to the AI Model and the output returned without entering the chatbot.

Examples

Run command without arguments starts a chatbot

ramalama run granite
>

Run command with local downloaded model for 10 minutes

ramalama run --keepalive 10m file:///tmp/mymodel
>

ramalama run merlinite "when is the summer solstice"
The summer solstice, which is the longest day of the year, will happen on June ...

Run command with a custom prompt and a file passed by the stdin

cat file.py | ramalama run quay.io/USER/granite-code:1.0 'what does this program do?'

This program is a Python script that allows the user to interact with a terminal. ...
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