Text Generation
Transformers
PEFT
llama
disaster-management
emergency-response
humanitarian-ai
multilingual
fine-tuned
qlora
lora
llama3
conversational
4-bit precision
bitsandbytes
Instructions to use drdeveloper88/WorldDisasterLM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drdeveloper88/WorldDisasterLM-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="drdeveloper88/WorldDisasterLM-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("drdeveloper88/WorldDisasterLM-8B") model = AutoModelForCausalLM.from_pretrained("drdeveloper88/WorldDisasterLM-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.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(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - PEFT
How to use drdeveloper88/WorldDisasterLM-8B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use drdeveloper88/WorldDisasterLM-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "drdeveloper88/WorldDisasterLM-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "drdeveloper88/WorldDisasterLM-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/drdeveloper88/WorldDisasterLM-8B
- SGLang
How to use drdeveloper88/WorldDisasterLM-8B 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 "drdeveloper88/WorldDisasterLM-8B" \ --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": "drdeveloper88/WorldDisasterLM-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "drdeveloper88/WorldDisasterLM-8B" \ --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": "drdeveloper88/WorldDisasterLM-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use drdeveloper88/WorldDisasterLM-8B with Docker Model Runner:
docker model run hf.co/drdeveloper88/WorldDisasterLM-8B
Upload WorldDisasterLM-8B source code: FastAPI backend, training pipeline, 11-language support
495526b | """ | |
| Upload WorldDisasterLM-8B as a public HuggingFace Space using urllib (no httpx/requests). | |
| Works on Python 3.14 on Windows where httpx TLS may fail. | |
| Usage | |
| ----- | |
| python scripts/upload_space_urllib.py --token hf_xxx --username drdeveloper88 | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import base64 | |
| import json | |
| import os | |
| import shutil | |
| import ssl | |
| import sys | |
| import tempfile | |
| import urllib.request | |
| from pathlib import Path | |
| ROOT = Path(__file__).parent.parent | |
| SPACE_DIR = ROOT / "hf_space" | |
| HF_API = "https://huggingface.co/api" | |
| CTX = ssl.create_default_context() | |
| def api(method: str, path: str, token: str, payload: dict | None = None) -> dict: | |
| url = f"{HF_API}{path}" | |
| data = json.dumps(payload).encode() if payload else None | |
| req = urllib.request.Request( | |
| url, | |
| data=data, | |
| method=method, | |
| headers={ | |
| "Authorization": f"Bearer {token}", | |
| "Content-Type": "application/json", | |
| }, | |
| ) | |
| try: | |
| with urllib.request.urlopen(req, context=CTX, timeout=30) as r: | |
| return json.loads(r.read()) | |
| except urllib.error.HTTPError as e: | |
| body = e.read().decode() | |
| raise RuntimeError(f"HTTP {e.code}: {body}") from e | |
| def upload_file(repo_id: str, token: str, local_path: Path, repo_path: str, commit_msg: str) -> None: | |
| """Upload a single file via the HF /api/repos endpoint (LFS-aware preupload + commit).""" | |
| content = local_path.read_bytes() | |
| # Step 1: preupload (get upload URL or confirm non-LFS) | |
| preupload_url = f"https://huggingface.co/api/spaces/{repo_id}/preupload/main" | |
| payload = json.dumps([{"path": repo_path, "size": len(content)}]).encode() | |
| req = urllib.request.Request( | |
| preupload_url, | |
| data=payload, | |
| method="POST", | |
| headers={ | |
| "Authorization": f"Bearer {token}", | |
| "Content-Type": "application/json", | |
| }, | |
| ) | |
| with urllib.request.urlopen(req, context=CTX, timeout=30) as r: | |
| preupload = json.loads(r.read()) | |
| files_info = preupload.get("files", [{}]) | |
| upload_mode = files_info[0].get("uploadMode", "regular") if files_info else "regular" | |
| if upload_mode == "lfs": | |
| # Upload to LFS URL | |
| upload_url = files_info[0]["uploadUrl"] | |
| put_req = urllib.request.Request( | |
| upload_url, | |
| data=content, | |
| method="PUT", | |
| headers={"Content-Type": "application/octet-stream"}, | |
| ) | |
| with urllib.request.urlopen(put_req, context=CTX, timeout=60) as r: | |
| r.read() | |
| oid = files_info[0]["oid"] | |
| size = files_info[0]["size"] | |
| lfs_content = ( | |
| f"version https://git-lfs.github.com/spec/v1\n" | |
| f"oid sha256:{oid}\n" | |
| f"size {size}\n" | |
| ).encode() | |
| final_content = lfs_content | |
| else: | |
| final_content = content | |
| # Step 2: commit | |
| commit_url = f"https://huggingface.co/api/spaces/{repo_id}/commit/main" | |
| header = json.dumps({ | |
| "summary": commit_msg, | |
| "files": [{"path": repo_path, "encoding": "base64"}], | |
| }) | |
| boundary = "----HFUploadBoundary" | |
| body_parts = [ | |
| f"--{boundary}\r\nContent-Disposition: form-data; name=\"header\"\r\n\r\n{header}\r\n".encode(), | |
| f"--{boundary}\r\nContent-Disposition: form-data; name=\"file\"; filename=\"{repo_path}\"\r\n\r\n".encode(), | |
| base64.b64encode(final_content), | |
| f"\r\n--{boundary}--\r\n".encode(), | |
| ] | |
| body = b"".join(body_parts) | |
| commit_req = urllib.request.Request( | |
| commit_url, | |
| data=body, | |
| method="POST", | |
| headers={ | |
| "Authorization": f"Bearer {token}", | |
| "Content-Type": f"multipart/form-data; boundary={boundary}", | |
| }, | |
| ) | |
| with urllib.request.urlopen(commit_req, context=CTX, timeout=60) as r: | |
| r.read() | |
| def upload_folder_simple(repo_id: str, token: str, folder: Path, readme_text: str) -> None: | |
| """Upload all Space files using the simpler single-commit API.""" | |
| files_payload = [] | |
| file_contents = {} | |
| for f in folder.iterdir(): | |
| if f.is_file(): | |
| if f.name == "README.md": | |
| content = readme_text.encode("utf-8") | |
| else: | |
| content = f.read_bytes() | |
| encoded = base64.b64encode(content).decode() | |
| files_payload.append({"path": f.name, "encoding": "base64"}) | |
| file_contents[f.name] = encoded | |
| # Build multipart commit | |
| boundary = "HFSpaceUpload42" | |
| parts = [] | |
| header = json.dumps({ | |
| "summary": "Upload WorldDisasterLM-8B Space", | |
| "files": files_payload, | |
| }) | |
| parts.append( | |
| f"--{boundary}\r\nContent-Disposition: form-data; name=\"header\"\r\n\r\n{header}\r\n".encode() | |
| ) | |
| for item in files_payload: | |
| fname = item["path"] | |
| parts.append( | |
| f"--{boundary}\r\nContent-Disposition: form-data; name=\"file\"; filename=\"{fname}\"\r\n\r\n".encode() | |
| ) | |
| parts.append(file_contents[fname].encode()) | |
| parts.append(b"\r\n") | |
| parts.append(f"--{boundary}--\r\n".encode()) | |
| body = b"".join(parts) | |
| commit_url = f"https://huggingface.co/api/spaces/{repo_id}/commit/main" | |
| req = urllib.request.Request( | |
| commit_url, | |
| data=body, | |
| method="POST", | |
| headers={ | |
| "Authorization": f"Bearer {token}", | |
| "Content-Type": f"multipart/form-data; boundary={boundary}", | |
| }, | |
| ) | |
| try: | |
| with urllib.request.urlopen(req, context=CTX, timeout=120) as r: | |
| result = json.loads(r.read()) | |
| return result | |
| except urllib.error.HTTPError as e: | |
| raise RuntimeError(f"Commit failed HTTP {e.code}: {e.read().decode()}") from e | |
| def parse_args() -> argparse.Namespace: | |
| p = argparse.ArgumentParser() | |
| p.add_argument("--token", default=os.environ.get("HF_TOKEN"), help="HF token (or set HF_TOKEN env var)") | |
| p.add_argument("--username", required=True) | |
| p.add_argument("--space-name", default="WorldDisasterLM-8B") | |
| p.add_argument("--private", action="store_true") | |
| return p.parse_args() | |
| def main() -> None: | |
| args = parse_args() | |
| token = args.token | |
| if not token: | |
| print("ERROR: provide --token or set HF_TOKEN"); sys.exit(1) | |
| repo_id = f"{args.username}/{args.space_name}" | |
| print(f"\n{'='*60}") | |
| print(f" WorldDisasterLM-8B → HuggingFace Space") | |
| print(f" Repo: {repo_id}") | |
| print(f"{'='*60}\n") | |
| # Verify token | |
| user = api("GET", "/whoami-v2", token) | |
| print(f" Authenticated as: {user.get('name')}") | |
| # Step 1: Create Space | |
| print("\nStep 1/3 — Creating Space repository...") | |
| try: | |
| api("POST", "/repos/create", token, { | |
| "type": "space", | |
| "name": args.space_name, | |
| "sdk": "gradio", | |
| "private": args.private, | |
| "exist_ok": True, | |
| }) | |
| print(f" ✓ Space created") | |
| except RuntimeError as e: | |
| if "already exists" in str(e) or "409" in str(e): | |
| print(f" ✓ Space already exists, updating") | |
| else: | |
| raise | |
| # Step 2: Patch README | |
| readme_text = (SPACE_DIR / "README.md").read_text(encoding="utf-8") | |
| readme_text = readme_text.replace("YOUR_HF_USERNAME", args.username) | |
| # Step 3: Upload files | |
| print("Step 2/3 — Uploading files...") | |
| result = upload_folder_simple(repo_id, token, SPACE_DIR, readme_text) | |
| print(f" ✓ Files uploaded (commit: {result.get('commitOid', 'ok')[:12] if result.get('commitOid') else 'done'})") | |
| print(f"\nStep 3/3 — Done!\n") | |
| print(f"{'='*60}") | |
| print(f" Live at: https://huggingface.co/spaces/{repo_id}") | |
| print(f" (Space may take 1-2 min to build)") | |
| print(f"{'='*60}\n") | |
| if __name__ == "__main__": | |
| main() | |