Image-Text-to-Text
Transformers
Safetensors
qwen3_5
vllm
video
multimodal
reinforcement-learning
temporal-grounding
object-tracking
video-segmentation
visual-question-answering
spatial-reasoning
qwen3.5
conversational
Instructions to use OraRL/Video-ORA-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OraRL/Video-ORA-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="OraRL/Video-ORA-9B") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OraRL/Video-ORA-9B") model = AutoModelForMultimodalLM.from_pretrained("OraRL/Video-ORA-9B", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OraRL/Video-ORA-9B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OraRL/Video-ORA-9B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OraRL/Video-ORA-9B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/OraRL/Video-ORA-9B
- SGLang
How to use OraRL/Video-ORA-9B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "OraRL/Video-ORA-9B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OraRL/Video-ORA-9B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "OraRL/Video-ORA-9B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OraRL/Video-ORA-9B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use OraRL/Video-ORA-9B with Docker Model Runner:
docker model run hf.co/OraRL/Video-ORA-9B
| set -euo pipefail | |
| SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)" | |
| RELEASE_DIR="$(cd -- "${SCRIPT_DIR}/.." && pwd)" | |
| usage() { | |
| cat <<'EOF' | |
| Usage: | |
| launch_multinode.sh [launcher options] -- <orarl-train options> | |
| Launcher options: | |
| --hosts LIST Comma-separated SSH hosts. May also use HOSTS. | |
| --hostfile FILE One SSH host per line. May also use HOSTFILE. | |
| --gpus-per-node N GPUs per host (default: 8). | |
| --ray-port N Ray head port (default: 6379). | |
| --strict-host-key-checking MODE | |
| yes (default), accept-new, ask, or no. | |
| --run Start Ray and training. Default is a safe dry run. | |
| --dry-run Print the launch plan without connecting. | |
| --help Show this message. | |
| The arguments after -- must include --config, --model, --train-data, | |
| --val-data, and --output. The launcher supplies topology and --run. | |
| EOF | |
| } | |
| HOSTS_VALUE="${HOSTS:-}" | |
| HOSTFILE_VALUE="${HOSTFILE:-}" | |
| GPUS_PER_NODE="${GPUS_PER_NODE:-8}" | |
| RAY_PORT="${RAY_PORT:-6379}" | |
| STRICT_MODE="${STRICT_HOST_KEY_CHECKING:-yes}" | |
| EXECUTE=0 | |
| while (($# > 0)); do | |
| case "$1" in | |
| --hosts) | |
| [[ $# -ge 2 ]] || { echo "ERROR: --hosts requires a value" >&2; exit 2; } | |
| HOSTS_VALUE="$2" | |
| shift 2 | |
| ;; | |
| --hostfile) | |
| [[ $# -ge 2 ]] || { echo "ERROR: --hostfile requires a value" >&2; exit 2; } | |
| HOSTFILE_VALUE="$2" | |
| shift 2 | |
| ;; | |
| --gpus-per-node) | |
| [[ $# -ge 2 ]] || { echo "ERROR: --gpus-per-node requires a value" >&2; exit 2; } | |
| GPUS_PER_NODE="$2" | |
| shift 2 | |
| ;; | |
| --ray-port) | |
| [[ $# -ge 2 ]] || { echo "ERROR: --ray-port requires a value" >&2; exit 2; } | |
| RAY_PORT="$2" | |
| shift 2 | |
| ;; | |
| --strict-host-key-checking) | |
| [[ $# -ge 2 ]] || { | |
| echo "ERROR: --strict-host-key-checking requires a value" >&2 | |
| exit 2 | |
| } | |
| STRICT_MODE="$2" | |
| shift 2 | |
| ;; | |
| --run) | |
| EXECUTE=1 | |
| shift | |
| ;; | |
| --dry-run) | |
| EXECUTE=0 | |
| shift | |
| ;; | |
| --help|-h) | |
| usage | |
| exit 0 | |
| ;; | |
| --) | |
| shift | |
| break | |
| ;; | |
| *) | |
| echo "ERROR: unknown launcher option: $1" >&2 | |
| usage >&2 | |
| exit 2 | |
| ;; | |
| esac | |
| done | |
| TRAIN_ARGS=("$@") | |
| if ((${#TRAIN_ARGS[@]} == 0)); then | |
| echo "ERROR: pass orarl-train options after --" >&2 | |
| exit 2 | |
| fi | |
| if [[ -n "${HOSTS_VALUE}" && -n "${HOSTFILE_VALUE}" ]]; then | |
| echo "ERROR: use only one of HOSTS/--hosts and HOSTFILE/--hostfile" >&2 | |
| exit 2 | |
| fi | |
| if [[ ! "${GPUS_PER_NODE}" =~ ^[1-9][0-9]*$ ]]; then | |
| echo "ERROR: GPUs per node must be a positive integer" >&2 | |
| exit 2 | |
| fi | |
| if [[ ! "${RAY_PORT}" =~ ^[0-9]+$ ]] || ((RAY_PORT < 1 || RAY_PORT > 65535)); then | |
| echo "ERROR: Ray port must be between 1 and 65535" >&2 | |
| exit 2 | |
| fi | |
| case "${STRICT_MODE}" in | |
| yes|accept-new|ask|no) ;; | |
| *) | |
| echo "ERROR: strict host key checking must be yes, accept-new, ask, or no" >&2 | |
| exit 2 | |
| ;; | |
| esac | |
| for argument in "${TRAIN_ARGS[@]}"; do | |
| lowered="${argument,,}" | |
| if [[ "${lowered}" == "--run" || "${lowered}" == "--dry-run" ]]; then | |
| echo "ERROR: training execution mode is controlled by the launcher" >&2 | |
| exit 2 | |
| fi | |
| if [[ "${lowered}" =~ (^|[._-])(api[_-]?key|auth[_-]?token|access[_-]?token|secret|password|credential|private[_-]?key)(=|$) ]]; then | |
| echo "ERROR: credential-shaped arguments are not forwarded" >&2 | |
| exit 2 | |
| fi | |
| if [[ "${argument}" =~ ://[^/@[:space:]]+:[^@/[:space:]]+@ ]]; then | |
| echo "ERROR: URLs with embedded authentication are not forwarded" >&2 | |
| exit 2 | |
| fi | |
| done | |
| declare -a RAW_HOSTS=() | |
| if [[ -n "${HOSTFILE_VALUE}" ]]; then | |
| [[ -f "${HOSTFILE_VALUE}" ]] || { | |
| echo "ERROR: host file does not exist: ${HOSTFILE_VALUE}" >&2 | |
| exit 2 | |
| } | |
| while IFS= read -r line || [[ -n "${line}" ]]; do | |
| line="${line%%#*}" | |
| line="${line#"${line%%[![:space:]]*}"}" | |
| line="${line%"${line##*[![:space:]]}"}" | |
| [[ -n "${line}" ]] && RAW_HOSTS+=("${line}") | |
| done < "${HOSTFILE_VALUE}" | |
| elif [[ -n "${HOSTS_VALUE}" ]]; then | |
| IFS=',' read -r -a RAW_HOSTS <<< "${HOSTS_VALUE}" | |
| else | |
| echo "ERROR: set HOSTS, set HOSTFILE, or pass the matching option" >&2 | |
| exit 2 | |
| fi | |
| declare -a HOST_LIST=() | |
| declare -A SEEN_HOSTS=() | |
| for host in "${RAW_HOSTS[@]}"; do | |
| host="${host#"${host%%[![:space:]]*}"}" | |
| host="${host%"${host##*[![:space:]]}"}" | |
| if [[ ! "${host}" =~ ^([A-Za-z0-9._-]+@)?[A-Za-z0-9._-]+$ ]]; then | |
| echo "ERROR: invalid SSH host entry" >&2 | |
| exit 2 | |
| fi | |
| if [[ -z "${SEEN_HOSTS[${host}]:-}" ]]; then | |
| HOST_LIST+=("${host}") | |
| SEEN_HOSTS["${host}"]=1 | |
| fi | |
| done | |
| if ((${#HOST_LIST[@]} == 0)); then | |
| echo "ERROR: no hosts were provided" >&2 | |
| exit 2 | |
| fi | |
| PYTHON_BIN="${PYTHON_BIN:-$(command -v python || true)}" | |
| if [[ -z "${PYTHON_BIN}" ]]; then | |
| echo "ERROR: active Python executable was not found" >&2 | |
| exit 2 | |
| fi | |
| if ! "${PYTHON_BIN}" -c 'import sys; sys.exit(sys.version_info < (3, 10))' 2>/dev/null; then | |
| echo "ERROR: OraRL multi-node launch requires Python 3.10 or newer." >&2 | |
| echo "Set PYTHON_BIN to the compatible verl environment." >&2 | |
| exit 2 | |
| fi | |
| export PYTHONPATH="${RELEASE_DIR}${PYTHONPATH:+:${PYTHONPATH}}" | |
| FORWARD_VARIABLES=( | |
| PATH | |
| PYTHONPATH | |
| LD_LIBRARY_PATH | |
| VIRTUAL_ENV | |
| CONDA_PREFIX | |
| CONDA_DEFAULT_ENV | |
| CUDA_VISIBLE_DEVICES | |
| NCCL_DEBUG | |
| NCCL_SOCKET_IFNAME | |
| NCCL_IB_HCA | |
| NCCL_IB_DISABLE | |
| NCCL_P2P_DISABLE | |
| TOKENIZERS_PARALLELISM | |
| HF_HOME | |
| TRANSFORMERS_CACHE | |
| XDG_CACHE_HOME | |
| ORARL_MEDIA_ROOT | |
| ORARL_PREPROCESSED_DIR | |
| ORARL_DATALOADER_WORKERS | |
| ORARL_VIDEO_MAX_PIXELS | |
| ORARL_VIDEO_MIN_PIXELS | |
| ORARL_VIDEO_MAX_FRAMES | |
| ORARL_VIDEO_FPS | |
| ORARL_VIDEO_TOTAL_PIXELS | |
| ORARL_IMAGE_MIN_PIXELS | |
| ORARL_IMAGE_MAX_PIXELS | |
| ORARL_VIDEO_SOURCE_MODE | |
| ORARL_INLINE_VIDEO_TENSORS | |
| ORARL_MAX_PROMPT_LENGTH | |
| ORARL_MAX_RESPONSE_LENGTH | |
| ORARL_ROLLOUT_BATCH_SIZE | |
| ORARL_VAL_BATCH_SIZE | |
| ORARL_ENABLE_THINKING | |
| ORARL_SEED | |
| ORARL_GLOBAL_BATCH_SIZE | |
| ORARL_UPDATE_MICRO_BATCH | |
| ORARL_EXPERIENCE_MICRO_BATCH | |
| ORARL_MAX_TOKEN_LEN_PER_GPU | |
| ORARL_LEARNING_RATE | |
| ORARL_ROLLOUT_BACKEND | |
| ) | |
| SSH_OPTIONS=( | |
| -o "BatchMode=yes" | |
| -o "StrictHostKeyChecking=${STRICT_MODE}" | |
| ) | |
| build_remote_command() { | |
| local -a parts=("env") | |
| local name | |
| for name in "${FORWARD_VARIABLES[@]}"; do | |
| if [[ -v "${name}" ]]; then | |
| parts+=("${name}=${!name}") | |
| fi | |
| done | |
| parts+=("$@") | |
| local rendered | |
| printf -v rendered '%q ' "${parts[@]}" | |
| printf '%s' "${rendered% }" | |
| } | |
| display_command() { | |
| local host="$1" | |
| local label="$2" | |
| shift 2 | |
| local rendered | |
| printf -v rendered '%q ' "$@" | |
| printf '[dry-run] %s on %s: %s\n' "${label}" "${host}" "${rendered% }" | |
| printf ' forwards %d allowlisted environment names when set\n' \ | |
| "${#FORWARD_VARIABLES[@]}" | |
| } | |
| run_remote() { | |
| local host="$1" | |
| local label="$2" | |
| shift 2 | |
| if ((EXECUTE == 0)); then | |
| display_command "${host}" "${label}" "$@" | |
| return | |
| fi | |
| printf '[run] %s on %s\n' "${label}" "${host}" | |
| remote_command="$(build_remote_command "$@")" | |
| ssh "${SSH_OPTIONS[@]}" "${host}" "${remote_command}" | |
| } | |
| HEAD_HOST="${HOST_LIST[0]}" | |
| HEAD_ADDRESS="${HEAD_HOST##*@}" | |
| RAY_ADDRESS="${HEAD_ADDRESS}:${RAY_PORT}" | |
| NODE_COUNT="${#HOST_LIST[@]}" | |
| run_remote "${HEAD_HOST}" "Ray head" \ | |
| "${PYTHON_BIN}" -m ray start \ | |
| --head \ | |
| "--port=${RAY_PORT}" \ | |
| "--num-gpus=${GPUS_PER_NODE}" \ | |
| --disable-usage-stats | |
| for ((index = 1; index < NODE_COUNT; index++)); do | |
| run_remote "${HOST_LIST[index]}" "Ray worker" \ | |
| "${PYTHON_BIN}" -m ray start \ | |
| "--address=${RAY_ADDRESS}" \ | |
| "--num-gpus=${GPUS_PER_NODE}" \ | |
| --disable-usage-stats | |
| done | |
| TRAIN_COMMAND=( | |
| "${PYTHON_BIN}" | |
| -m | |
| orarl.cli.train | |
| "${TRAIN_ARGS[@]}" | |
| --nodes | |
| "${NODE_COUNT}" | |
| --gpus-per-node | |
| "${GPUS_PER_NODE}" | |
| --run | |
| ) | |
| if ((EXECUTE == 0)); then | |
| display_command "${HEAD_HOST}" "trainer (RAY_ADDRESS set at execution)" \ | |
| "${TRAIN_COMMAND[@]}" | |
| else | |
| printf '[run] trainer on %s\n' "${HEAD_HOST}" | |
| remote_command="$(build_remote_command "RAY_ADDRESS=${RAY_ADDRESS}" "${TRAIN_COMMAND[@]}")" | |
| ssh "${SSH_OPTIONS[@]}" "${HEAD_HOST}" "${remote_command}" | |
| fi | |