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allaun
fa8f6a2586
Utility scripts: - download_leanstral.py: HuggingFace model download for autoproof - download_leanstral_urllib.py: stdlib-only variant - prime_slos_explore.py: spectral signature exploration for primes Infrastructure: - scripts/mcp_backend/: Rust MCP backend (src + Cargo.toml/lock, target/ gitignored) Data: - .openresearch/artifacts/slos_checkpoints/: 128K checkpoint data - archive/dead_code_2026-07-03/: 360K archived dead code
83 lines
2.4 KiB
Python
83 lines
2.4 KiB
Python
#!/usr/bin/env python3
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"""Download Leanstral 1.5 using only urllib (no huggingface_hub dependency)."""
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import os, sys, urllib.request, json, time
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MODEL = "Frosty40/Leanstral-1.5-119B-A6B-GGUF-NVFP4"
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FILE = "Leanstral-1.5-119B-A6B-NVFP4.gguf"
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HF_TOKEN = os.environ.get("HF_TOKEN", "")
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DEST = os.path.expanduser("~/models/leanstral")
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PATH = os.path.join(DEST, FILE)
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os.makedirs(DEST, exist_ok=True)
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# Get file metadata from HF API
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api_url = f"https://huggingface.co/api/models/{MODEL}"
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print(f"Querying {api_url}...")
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req = urllib.request.Request(api_url)
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if HF_TOKEN:
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req.add_header("Authorization", f"Bearer {HF_TOKEN}")
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resp = urllib.request.urlopen(req)
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data = json.loads(resp.read())
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# Find the file in siblings
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siblings = data.get("siblings", [])
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file_info = None
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for s in siblings:
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if s.get("rfilename") == FILE:
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file_info = s
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break
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if file_info:
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size_gb = file_info.get("size", 0) / (1024**3)
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print(f"File size: {size_gb:.1f} GB")
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else:
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print("File info not found via API, will attempt download anyway")
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# Direct download URL
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dl_url = f"https://huggingface.co/{MODEL}/resolve/main/{FILE}"
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print(f"Downloading from {dl_url}")
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print(f"To: {PATH}")
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# Resume partial download
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existing = 0
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mode = "wb"
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if os.path.exists(PATH):
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existing = os.path.getsize(PATH)
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if existing > 0:
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mode = "ab"
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print(f"Resuming at {existing / (1024**3):.1f} GB")
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headers = {"User-Agent": "Mozilla/5.0"}
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if existing > 0:
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headers["Range"] = f"bytes={existing}-"
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req = urllib.request.Request(dl_url, headers=headers)
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if HF_TOKEN:
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req.add_header("Authorization", f"Bearer {HF_TOKEN}")
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resp = urllib.request.urlopen(req)
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total = existing + int(resp.headers.get("Content-Length", 0))
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if total == existing:
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print("Already complete!")
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sys.exit(0)
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total_gb = total / (1024**3)
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downloaded = existing
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chunk = 32 * 1024 * 1024 # 32 MB chunks
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t0 = time.time()
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with open(PATH, mode) as f:
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while True:
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data = resp.read(chunk)
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if not data:
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break
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f.write(data)
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downloaded += len(data)
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elapsed = time.time() - t0
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rate = downloaded / (1024**3) / max(elapsed, 0.1)
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pct = downloaded / total * 100 if total > 0 else 0
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print(f"\r {downloaded/(1024**3):.1f}/{total_gb:.1f} GB ({pct:.1f}%) at {rate:.1f} GB/s", end="")
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sys.stdout.flush()
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print(f"\nDone! {PATH}")
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print(f"Size: {os.path.getsize(PATH) / (1024**3):.1f} GB")
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