Text Generation
Transformers
Safetensors
English
lfm2
text-generation-inference
unsloth
conversational
Instructions to use smjain/sap-archgen-lfm2-230M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smjain/sap-archgen-lfm2-230M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="smjain/sap-archgen-lfm2-230M") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("smjain/sap-archgen-lfm2-230M") model = AutoModelForCausalLM.from_pretrained("smjain/sap-archgen-lfm2-230M", device_map="auto") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use smjain/sap-archgen-lfm2-230M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "smjain/sap-archgen-lfm2-230M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "smjain/sap-archgen-lfm2-230M", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/smjain/sap-archgen-lfm2-230M
- SGLang
How to use smjain/sap-archgen-lfm2-230M 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 "smjain/sap-archgen-lfm2-230M" \ --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": "smjain/sap-archgen-lfm2-230M", "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 "smjain/sap-archgen-lfm2-230M" \ --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": "smjain/sap-archgen-lfm2-230M", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use smjain/sap-archgen-lfm2-230M with Docker Model Runner:
docker model run hf.co/smjain/sap-archgen-lfm2-230M
Upload drawio_engine.py with huggingface_hub
Browse files- drawio_engine.py +179 -0
drawio_engine.py
ADDED
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| 1 |
+
#!/usr/bin/env python3
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| 2 |
+
"""Agentic draw.io build engine.
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| 3 |
+
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| 4 |
+
extract_plan(path) : full .drawio -> compact build-plan (style table + nodes +
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| 5 |
+
containers + edges, real geometry & SAP styles, base64
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| 6 |
+
image payloads stripped).
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| 7 |
+
build_drawio(plan) : build-plan -> complete, valid .drawio XML (the executor).
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| 8 |
+
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| 9 |
+
The model is trained to emit the build-plan; the engine renders the full file.
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| 10 |
+
Round-tripping every plan guarantees the target is reconstructible & valid.
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| 11 |
+
"""
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| 12 |
+
import base64, zlib, urllib.parse, html, re, json
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| 13 |
+
import xml.etree.ElementTree as ET
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| 14 |
+
from xml.sax.saxutils import quoteattr
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| 15 |
+
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| 16 |
+
IMAGE_DATA_RE = re.compile(r"image=data:[^;,]+;base64,[^;]+;?")
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| 17 |
+
IMG_RE = re.compile(r"image=(data:[^;]+)") # SAP icons: data:image/png,<b64>
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| 18 |
+
WS_RE = re.compile(r"\s+")
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| 19 |
+
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| 20 |
+
def signature(style):
|
| 21 |
+
"""Group styles by icon identity (image payload) else by full string."""
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| 22 |
+
if not style:
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| 23 |
+
return "_plain_"
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| 24 |
+
m = IMG_RE.search(style)
|
| 25 |
+
return ("img:" + m.group(1)) if m else ("sty:" + style.strip())
|
| 26 |
+
|
| 27 |
+
def _inflate(text):
|
| 28 |
+
text = (text or "").strip()
|
| 29 |
+
if text.startswith("<"):
|
| 30 |
+
return text
|
| 31 |
+
try:
|
| 32 |
+
return urllib.parse.unquote(zlib.decompress(base64.b64decode(text), -15).decode("utf-8"))
|
| 33 |
+
except Exception:
|
| 34 |
+
return None
|
| 35 |
+
|
| 36 |
+
def _label(val):
|
| 37 |
+
if not val:
|
| 38 |
+
return ""
|
| 39 |
+
return WS_RE.sub(" ", re.sub(r"<[^>]+>", " ", html.unescape(val))).strip()
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| 40 |
+
|
| 41 |
+
def _clean_style(style):
|
| 42 |
+
"""Strip heavy base64 image payloads but keep SAP shapes/colors/fonts."""
|
| 43 |
+
if not style:
|
| 44 |
+
return "rounded=0;whiteSpace=wrap;html=1;"
|
| 45 |
+
s = IMAGE_DATA_RE.sub("", style)
|
| 46 |
+
s = re.sub(r";{2,}", ";", s).strip(";")
|
| 47 |
+
return (s + ";") if s else "rounded=0;whiteSpace=wrap;html=1;"
|
| 48 |
+
|
| 49 |
+
def _models(path):
|
| 50 |
+
data = open(path, "r", encoding="utf-8", errors="ignore").read()
|
| 51 |
+
try:
|
| 52 |
+
tree = ET.fromstring(data)
|
| 53 |
+
except ET.ParseError:
|
| 54 |
+
return
|
| 55 |
+
for di, diagram in enumerate(tree.iter("diagram")):
|
| 56 |
+
gm = diagram.find("mxGraphModel")
|
| 57 |
+
if gm is None:
|
| 58 |
+
inf = _inflate(diagram.text)
|
| 59 |
+
if not inf:
|
| 60 |
+
continue
|
| 61 |
+
try:
|
| 62 |
+
gm = ET.fromstring(inf)
|
| 63 |
+
except ET.ParseError:
|
| 64 |
+
continue
|
| 65 |
+
yield diagram.get("name", f"Page-{di+1}"), gm
|
| 66 |
+
|
| 67 |
+
def extract_plan(path, sig2key, max_pages=1):
|
| 68 |
+
"""Return list of build-plans (one per page). Styles -> library keys."""
|
| 69 |
+
plans = []
|
| 70 |
+
for name, gm in _models(path):
|
| 71 |
+
root = gm.find("root")
|
| 72 |
+
if root is None:
|
| 73 |
+
continue
|
| 74 |
+
def sid(style):
|
| 75 |
+
return sig2key.get(signature(style), "box")
|
| 76 |
+
nodes, edges, idmap = [], [], {}
|
| 77 |
+
order = []
|
| 78 |
+
for cell in root.iter("mxCell"):
|
| 79 |
+
cid = cell.get("id")
|
| 80 |
+
if cid in (None, "0", "1"):
|
| 81 |
+
continue
|
| 82 |
+
order.append(cell)
|
| 83 |
+
# assign compact ids
|
| 84 |
+
for i, cell in enumerate(order):
|
| 85 |
+
idmap[cell.get("id")] = i + 2
|
| 86 |
+
for cell in order:
|
| 87 |
+
cid = idmap[cell.get("id")]
|
| 88 |
+
if cell.get("vertex") == "1":
|
| 89 |
+
geo = cell.find("mxGeometry")
|
| 90 |
+
if geo is None:
|
| 91 |
+
continue
|
| 92 |
+
try:
|
| 93 |
+
x = int(float(geo.get("x", 0) or 0)); y = int(float(geo.get("y", 0) or 0))
|
| 94 |
+
w = int(float(geo.get("width", 80) or 80)); h = int(float(geo.get("height", 60) or 60))
|
| 95 |
+
except ValueError:
|
| 96 |
+
x = y = 0; w, h = 80, 60
|
| 97 |
+
parent = idmap.get(cell.get("parent"), 1)
|
| 98 |
+
n = {"i": cid, "l": _label(cell.get("value")), "k": sid(cell.get("style", "")),
|
| 99 |
+
"x": x, "y": y, "w": w, "h": h}
|
| 100 |
+
if parent != 1:
|
| 101 |
+
n["p"] = parent
|
| 102 |
+
nodes.append(n)
|
| 103 |
+
elif cell.get("edge") == "1":
|
| 104 |
+
s = idmap.get(cell.get("source")); t = idmap.get(cell.get("target"))
|
| 105 |
+
if s is None or t is None:
|
| 106 |
+
continue
|
| 107 |
+
e = {"a": s, "b": t, "k": sid(cell.get("style", ""))}
|
| 108 |
+
lab = _label(cell.get("value"))
|
| 109 |
+
if lab:
|
| 110 |
+
e["l"] = lab
|
| 111 |
+
edges.append(e)
|
| 112 |
+
if len(nodes) < 2:
|
| 113 |
+
continue
|
| 114 |
+
plans.append({"page": name, "nodes": nodes, "edges": edges})
|
| 115 |
+
return plans[:max_pages] if max_pages else plans
|
| 116 |
+
|
| 117 |
+
def build_drawio(plan, lib):
|
| 118 |
+
"""Executor: build-plan + style library -> full valid .drawio XML string."""
|
| 119 |
+
cells = ['<mxCell id="0" />', '<mxCell id="1" parent="0" />']
|
| 120 |
+
def st(k):
|
| 121 |
+
return lib.get(k, "rounded=0;whiteSpace=wrap;html=1;")
|
| 122 |
+
for n in plan.get("nodes", []):
|
| 123 |
+
parent = n.get("p", 1)
|
| 124 |
+
cells.append(
|
| 125 |
+
f'<mxCell id="{n["i"]}" value={quoteattr(str(n.get("l","")))} '
|
| 126 |
+
f'style={quoteattr(st(n.get("s",0)))} vertex="1" parent="{parent}">'
|
| 127 |
+
f'<mxGeometry x="{n.get("x",0)}" y="{n.get("y",0)}" '
|
| 128 |
+
f'width="{n.get("w",80)}" height="{n.get("h",60)}" as="geometry" /></mxCell>')
|
| 129 |
+
eid = 100000
|
| 130 |
+
for e in plan.get("edges", []):
|
| 131 |
+
lab = e.get("l", "")
|
| 132 |
+
vattr = f' value={quoteattr(str(lab))}' if lab else ''
|
| 133 |
+
cells.append(
|
| 134 |
+
f'<mxCell id="{eid}"{vattr} style={quoteattr(st(e.get("s",0)))} '
|
| 135 |
+
f'edge="1" parent="1" source="{e["a"]}" target="{e["b"]}">'
|
| 136 |
+
f'<mxGeometry relative="1" as="geometry" /></mxCell>')
|
| 137 |
+
eid += 1
|
| 138 |
+
name = plan.get("page", "Architecture")
|
| 139 |
+
return (f'<mxfile host="archgen"><diagram name={quoteattr(name)}>'
|
| 140 |
+
f'<mxGraphModel dx="1200" dy="800" grid="0" gridSize="10" guides="1" '
|
| 141 |
+
f'tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" '
|
| 142 |
+
f'pageWidth="1600" pageHeight="1100" math="0" shadow="0"><root>'
|
| 143 |
+
+ "".join(cells) +
|
| 144 |
+
'</root></mxGraphModel></diagram></mxfile>')
|
| 145 |
+
|
| 146 |
+
def plan_to_text(plan):
|
| 147 |
+
"""Compact one-line-per-record serialization the model emits."""
|
| 148 |
+
return json.dumps(plan, ensure_ascii=False, separators=(",", ":"))
|
| 149 |
+
|
| 150 |
+
def validate(xml):
|
| 151 |
+
"""True if well-formed and structurally a real diagram."""
|
| 152 |
+
try:
|
| 153 |
+
t = ET.fromstring(xml)
|
| 154 |
+
except ET.ParseError:
|
| 155 |
+
return False, "parse-error"
|
| 156 |
+
cells = list(t.iter("mxCell"))
|
| 157 |
+
verts = [c for c in cells if c.get("vertex") == "1"]
|
| 158 |
+
return (len(verts) >= 2), f"{len(verts)} nodes, {len([c for c in cells if c.get('edge')=='1'])} edges"
|
| 159 |
+
|
| 160 |
+
if __name__ == "__main__":
|
| 161 |
+
import glob, os
|
| 162 |
+
lib = json.load(open("dataset/style_library.json"))
|
| 163 |
+
sig2key = json.load(open("dataset/sig2key.json"))
|
| 164 |
+
toks = []
|
| 165 |
+
for f in sorted(glob.glob("data_refarch/**/*.drawio", recursive=True)):
|
| 166 |
+
if "/archive/" in f:
|
| 167 |
+
continue
|
| 168 |
+
for plan in extract_plan(f, sig2key, max_pages=2):
|
| 169 |
+
txt = plan_to_text(plan)
|
| 170 |
+
xml = build_drawio(plan, lib)
|
| 171 |
+
ok, info = validate(xml)
|
| 172 |
+
t = len(txt) // 3
|
| 173 |
+
toks.append(t)
|
| 174 |
+
print(f"{t:6d}tok plan | nodes={len(plan['nodes']):3d} edges={len(plan['edges']):3d} "
|
| 175 |
+
f"| {'OK ' if ok else 'BAD'} {info:18s} | {os.path.basename(f)[:42]}")
|
| 176 |
+
if toks:
|
| 177 |
+
print(f"\npages={len(toks)} max~tok={max(toks)} "
|
| 178 |
+
f"median~={sorted(toks)[len(toks)//2]} mean~={sum(toks)//len(toks)} "
|
| 179 |
+
f"| >7000tok: {sum(1 for t in toks if t>7000)}")
|