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
| #!/usr/bin/env python3 | |
| """Agentic draw.io build engine. | |
| extract_plan(path) : full .drawio -> compact build-plan (style table + nodes + | |
| containers + edges, real geometry & SAP styles, base64 | |
| image payloads stripped). | |
| build_drawio(plan) : build-plan -> complete, valid .drawio XML (the executor). | |
| The model is trained to emit the build-plan; the engine renders the full file. | |
| Round-tripping every plan guarantees the target is reconstructible & valid. | |
| """ | |
| import base64, zlib, urllib.parse, html, re, json | |
| import xml.etree.ElementTree as ET | |
| from xml.sax.saxutils import quoteattr | |
| IMAGE_DATA_RE = re.compile(r"image=data:[^;,]+;base64,[^;]+;?") | |
| IMG_RE = re.compile(r"image=(data:[^;]+)") # SAP icons: data:image/png,<b64> | |
| WS_RE = re.compile(r"\s+") | |
| def signature(style): | |
| """Group styles by icon identity (image payload) else by full string.""" | |
| if not style: | |
| return "_plain_" | |
| m = IMG_RE.search(style) | |
| return ("img:" + m.group(1)) if m else ("sty:" + style.strip()) | |
| def _inflate(text): | |
| text = (text or "").strip() | |
| if text.startswith("<"): | |
| return text | |
| try: | |
| return urllib.parse.unquote(zlib.decompress(base64.b64decode(text), -15).decode("utf-8")) | |
| except Exception: | |
| return None | |
| def _label(val): | |
| if not val: | |
| return "" | |
| return WS_RE.sub(" ", re.sub(r"<[^>]+>", " ", html.unescape(val))).strip() | |
| def _clean_style(style): | |
| """Strip heavy base64 image payloads but keep SAP shapes/colors/fonts.""" | |
| if not style: | |
| return "rounded=0;whiteSpace=wrap;html=1;" | |
| s = IMAGE_DATA_RE.sub("", style) | |
| s = re.sub(r";{2,}", ";", s).strip(";") | |
| return (s + ";") if s else "rounded=0;whiteSpace=wrap;html=1;" | |
| def _models(path): | |
| data = open(path, "r", encoding="utf-8", errors="ignore").read() | |
| try: | |
| tree = ET.fromstring(data) | |
| except ET.ParseError: | |
| return | |
| for di, diagram in enumerate(tree.iter("diagram")): | |
| gm = diagram.find("mxGraphModel") | |
| if gm is None: | |
| inf = _inflate(diagram.text) | |
| if not inf: | |
| continue | |
| try: | |
| gm = ET.fromstring(inf) | |
| except ET.ParseError: | |
| continue | |
| yield diagram.get("name", f"Page-{di+1}"), gm | |
| def extract_plan(path, sig2key, max_pages=1): | |
| """Return list of build-plans (one per page). Styles -> library keys.""" | |
| plans = [] | |
| for name, gm in _models(path): | |
| root = gm.find("root") | |
| if root is None: | |
| continue | |
| def sid(style): | |
| return sig2key.get(signature(style), "box") | |
| nodes, edges, idmap = [], [], {} | |
| order = [] | |
| for cell in root.iter("mxCell"): | |
| cid = cell.get("id") | |
| if cid in (None, "0", "1"): | |
| continue | |
| order.append(cell) | |
| # assign compact ids | |
| for i, cell in enumerate(order): | |
| idmap[cell.get("id")] = i + 2 | |
| for cell in order: | |
| cid = idmap[cell.get("id")] | |
| if cell.get("vertex") == "1": | |
| geo = cell.find("mxGeometry") | |
| if geo is None: | |
| continue | |
| try: | |
| x = int(float(geo.get("x", 0) or 0)); y = int(float(geo.get("y", 0) or 0)) | |
| w = int(float(geo.get("width", 80) or 80)); h = int(float(geo.get("height", 60) or 60)) | |
| except ValueError: | |
| x = y = 0; w, h = 80, 60 | |
| parent = idmap.get(cell.get("parent"), 1) | |
| n = {"i": cid, "l": _label(cell.get("value")), "k": sid(cell.get("style", "")), | |
| "x": x, "y": y, "w": w, "h": h} | |
| if parent != 1: | |
| n["p"] = parent | |
| nodes.append(n) | |
| elif cell.get("edge") == "1": | |
| s = idmap.get(cell.get("source")); t = idmap.get(cell.get("target")) | |
| if s is None or t is None: | |
| continue | |
| e = {"a": s, "b": t, "k": sid(cell.get("style", ""))} | |
| lab = _label(cell.get("value")) | |
| if lab: | |
| e["l"] = lab | |
| edges.append(e) | |
| if len(nodes) < 2: | |
| continue | |
| plans.append({"page": name, "nodes": nodes, "edges": edges}) | |
| return plans[:max_pages] if max_pages else plans | |
| def build_drawio(plan, lib): | |
| """Executor: build-plan + style library -> full valid .drawio XML string.""" | |
| cells = ['<mxCell id="0" />', '<mxCell id="1" parent="0" />'] | |
| def st(k): | |
| return lib.get(k, "rounded=0;whiteSpace=wrap;html=1;") | |
| for n in plan.get("nodes", []): | |
| parent = n.get("p", 1) | |
| cells.append( | |
| f'<mxCell id="{n["i"]}" value={quoteattr(str(n.get("l","")))} ' | |
| f'style={quoteattr(st(n.get("s",0)))} vertex="1" parent="{parent}">' | |
| f'<mxGeometry x="{n.get("x",0)}" y="{n.get("y",0)}" ' | |
| f'width="{n.get("w",80)}" height="{n.get("h",60)}" as="geometry" /></mxCell>') | |
| eid = 100000 | |
| for e in plan.get("edges", []): | |
| lab = e.get("l", "") | |
| vattr = f' value={quoteattr(str(lab))}' if lab else '' | |
| cells.append( | |
| f'<mxCell id="{eid}"{vattr} style={quoteattr(st(e.get("s",0)))} ' | |
| f'edge="1" parent="1" source="{e["a"]}" target="{e["b"]}">' | |
| f'<mxGeometry relative="1" as="geometry" /></mxCell>') | |
| eid += 1 | |
| name = plan.get("page", "Architecture") | |
| return (f'<mxfile host="archgen"><diagram name={quoteattr(name)}>' | |
| f'<mxGraphModel dx="1200" dy="800" grid="0" gridSize="10" guides="1" ' | |
| f'tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" ' | |
| f'pageWidth="1600" pageHeight="1100" math="0" shadow="0"><root>' | |
| + "".join(cells) + | |
| '</root></mxGraphModel></diagram></mxfile>') | |
| def plan_to_text(plan): | |
| """Compact one-line-per-record serialization the model emits.""" | |
| return json.dumps(plan, ensure_ascii=False, separators=(",", ":")) | |
| def validate(xml): | |
| """True if well-formed and structurally a real diagram.""" | |
| try: | |
| t = ET.fromstring(xml) | |
| except ET.ParseError: | |
| return False, "parse-error" | |
| cells = list(t.iter("mxCell")) | |
| verts = [c for c in cells if c.get("vertex") == "1"] | |
| return (len(verts) >= 2), f"{len(verts)} nodes, {len([c for c in cells if c.get('edge')=='1'])} edges" | |
| if __name__ == "__main__": | |
| import glob, os | |
| lib = json.load(open("dataset/style_library.json")) | |
| sig2key = json.load(open("dataset/sig2key.json")) | |
| toks = [] | |
| for f in sorted(glob.glob("data_refarch/**/*.drawio", recursive=True)): | |
| if "/archive/" in f: | |
| continue | |
| for plan in extract_plan(f, sig2key, max_pages=2): | |
| txt = plan_to_text(plan) | |
| xml = build_drawio(plan, lib) | |
| ok, info = validate(xml) | |
| t = len(txt) // 3 | |
| toks.append(t) | |
| print(f"{t:6d}tok plan | nodes={len(plan['nodes']):3d} edges={len(plan['edges']):3d} " | |
| f"| {'OK ' if ok else 'BAD'} {info:18s} | {os.path.basename(f)[:42]}") | |
| if toks: | |
| print(f"\npages={len(toks)} max~tok={max(toks)} " | |
| f"median~={sorted(toks)[len(toks)//2]} mean~={sum(toks)//len(toks)} " | |
| f"| >7000tok: {sum(1 for t in toks if t>7000)}") | |