# =============================================================================
# Edgelet Model manifest - annotated subset (edgelet.iofog.org/v1)
#
# Apply:  edgelet deploy -f model.yaml   (persists + downloads; CLI waits)
# Pull:   edgelet model pull <metadata.name> [--repo … --registry …]
# Prose:  /learn/edgelet/models · /learn/edgelet/manifests
#         /learn/edgelet/oci-artifacts (how to push OCI / ORAS)
#
# Prerequisites:
#   - OCI examples use built-in registry id 1 (docker.io).
#   - Public Hub examples use built-in registry id 3 (https://huggingface.co).
#   - Download is async on the daemon (Pending → Pulling → Ready / Failed).
# =============================================================================

apiVersion: edgelet.iofog.org/v1
kind: Model
metadata:
  name: llama-2-7b-q2k           # required - DNS-1123 label; on-disk directory name
spec:
  repo: second-state/Llama-2-7B-Chat-GGUF   # required - upstream path, no host
  revision: 064fe43ea8c1e1f93477ef4a170bdc2b244ef02c  # HF commit (pinned)
  registry: 3                    # required - built-in Hugging Face Hub (type hf)
  files:                         # HF only; ignored for oci
    - llama-2-7b-chat.Q5_K_M.gguf
  format: gguf                   # optional hint: gguf, safetensors, onnx, pytorch, tensorrt, unknown

---
apiVersion: edgelet.iofog.org/v1
kind: Model
metadata:
  name: gemma3
  labels:
    family: gemma3
spec:
  repo: ai/gemma3                # OCI repository path (no registry host)
  revision: 4b-q8_0              # OCI tag (floating - not a digest)
  registry: 1                    # docker.io
  files: []                      # ignored for oci - full artifact is always pulled
  format: gguf

---
apiVersion: edgelet.iofog.org/v1
kind: Model
metadata:
  name: gemma3-4b-q4-k-m
  labels:
    family: gemma3
spec:
  repo: ai/gemma3
  revision: sha256:1eca257ec64d465cf38f766561e28eddb3b764adfba703288106a31cd2fe84a8
  registry: 1
  files: []
  format: gguf