SKILL.md

metadata

name: qwen35-4b-nf4
description: >-
  S2 vision-language model. Capabilities: query on open-vocabulary object, text,
  scene region, spatial relation. Qwen3.5-4B natively-multimodal video-language
  model packaged as an NF4 bitsandbytes vlm rSkill. Accepts RGB image or video
  frames plus a natural-language query; returns a text answer.
  Embodiment-agnostic. No actuators. Apache-2.0. Discovery view of an OpenRAL
  rSkill — NOT directly runnable by an agent harness; it runs via
  rSkill.from_pretrained + the robot HAL.
metadata:
  openral_rskill: true
  schema_version: 0.1
  rskill_id: OpenRAL/rskill-qwen35_4b-any-general-nf4
  manifest: ./rskill.yaml
  role: s2
  kind: vlm
  embodiment_tags:
    - any
  actions:
    - query
  objects:
    - open-vocabulary object
    - text
    - scene region
    - spatial relation
  scenes:
    - tabletop
    - kitchen
    - indoor
    - outdoor
    - warehouse
    - driving
  sensors_required:
    - rgb
  runtime: pytorch
  quantization: int4/pytorch
  min_vram_gb:
    fp32: 16
    bf16: 8
    int4: 2.5
  chunk_size: 1
  latency_budget:
    per_chunk_ms: 3000
  license_code: Apache-2.0
  license_weights: apache-2.0
  weights_uri: hf://OpenRAL/rskill-qwen35_4b-any-general-nf4
  source_repo: hf://Qwen/Qwen3.5-4B@851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a

qwen35-4b-nf4 — rSkill discovery view

Generated view, not a hand-written skill. This SKILL.md is a discovery-only mirror of rskill.yaml, produced by tools/generate_rskill_skillmd.py. It lets tools that read the standard agent-skill format find and reason about this OpenRAL rSkill. The rskill.yaml manifest is the single source of truth (CLAUDE.md §1.3). Do not edit by hand — edit the manifest and regenerate.

What it is

An OpenRAL vision-language model (role: s2, kind: vlm). Qwen3.5-4B natively-multimodal video-language model packaged as an NF4 bitsandbytes vlm rSkill. Accepts RGB image or video frames plus a natural-language query; returns a text answer. Embodiment-agnostic. No actuators. Apache-2.0.

Capabilities

• Verbs: query
• Objects: open-vocabulary object · text · scene region · spatial relation
• Scenes: tabletop · kitchen · indoor · outdoor · warehouse · driving
• Embodiments: any

Why this is discovery-only

An agent skill is natural-language instructions loaded into an LLM's context. An rSkill is an executable artifact: it carries a typed capability/embodiment contract, model weights, a runtime, and a license/provenance gate — none of which fit in freeform markdown. So an agent can use this view to select the right skill, but cannot execute it by loading this file. Execution always goes through the OpenRAL loader and the robot HAL.

License

• Code: Apache-2.0.
• Weights: apache-2.0 — permissive / commercial-use OK

How to actually run it (not via an agent harness)

from openral_rskill import rSkill

skill = rSkill.from_pretrained("OpenRAL/rskill-qwen35_4b-any-general-nf4")
# the loader validates embodiment / sensors / runtime / quantization against the target
# RobotDescription and enforces the weight-license gate before any weights load.

See rskill.yaml for the authoritative, validated manifest.