Add HF upload script using new hf CLI

push_to_hf.sh

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+#!/bin/bash
+# Push Zen-Omni to HuggingFace using new hf CLI
+
+echo "🚀 Pushing Zen-Omni to HuggingFace Hub"
+
+# Model paths
+ORIGINAL_MODEL="$HOME/work/zen/qwen3-omni-30b-complete"
+MLX_MODEL="$HOME/work/zen/qwen3-omni-mlx/q4"
+GGUF_MODEL="$HOME/work/zen/qwen3-omni-gguf"
+
+# Step 1: Upload original model weights
+echo "📦 Uploading original Qwen3-Omni weights..."
+hf upload zenlm/zen-omni-30b $ORIGINAL_MODEL . \
+  --repo-type model \
+  --commit-message "Upload Zen-Omni 30B base weights"
+
+# Step 2: Upload MLX 4-bit version (after conversion)
+echo "🍎 Uploading MLX 4-bit version..."
+hf upload zenlm/zen-omni-30b-mlx $MLX_MODEL . \
+  --repo-type model \
+  --commit-message "Upload MLX 4-bit quantized model"
+
+# Step 3: Upload GGUF version (after conversion)
+echo "📚 Uploading GGUF for LM Studio..."
+hf upload zenlm/zen-omni-30b-gguf $GGUF_MODEL/*.gguf . \
+  --repo-type model \
+  --commit-message "Upload GGUF 4-bit for LM Studio"
+
+echo "✅ Upload complete!"
+echo ""
+echo "Models available at:"
+echo "  - https://huggingface.co/zenlm/zen-omni-30b (original)"
+echo "  - https://huggingface.co/zenlm/zen-omni-30b-mlx (MLX 4-bit)"
+echo "  - https://huggingface.co/zenlm/zen-omni-30b-gguf (GGUF)"

push_to_huggingface.py

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+#!/usr/bin/env python3
+"""
+Push Zen-Omni model to HuggingFace Hub.
+Weights go to HuggingFace, code stays on GitHub.
+"""
+
+from huggingface_hub import HfApi, create_repo
+from pathlib import Path
+
+def push_to_hf():
+    api = HfApi()
+    
+    # Create repo on HuggingFace
+    repo_id = "zenlm/zen-omni-30b"
+    
+    try:
+        create_repo(repo_id, repo_type="model", exist_ok=True)
+        print(f"✅ Created/verified repo: {repo_id}")
+    except Exception as e:
+        print(f"Repo exists or error: {e}")
+    
+    # Upload model files (after download completes)
+    model_path = Path.home() / "work/zen/qwen3-omni-30b-complete"
+    
+    if model_path.exists():
+        print(f"Uploading from {model_path}...")
+        api.upload_folder(
+            folder_path=str(model_path),
+            repo_id=repo_id,
+            repo_type="model",
+            commit_message="Upload Zen-Omni 30B model weights"
+        )
+        print("✅ Upload complete!")
+    else:
+        print("⏳ Waiting for download to complete first...")
+
+if __name__ == "__main__":
+    push_to_hf()