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
File size: 7,794 Bytes
495526b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 | """
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()
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