diff --git a/ix_forge.py b/ix_forge.py
new file mode 100644
index 0000000..6d10199
--- /dev/null
+++ b/ix_forge.py
@@ -0,0 +1,114 @@
+#!/usr/bin/env python3
+"""
+IX Forge — Community Fine-tuning Platform
+Part of the Inference-X Ecosystem
+# ​‌​‌ SALKA ELMADANI ‌​‌​ | inference-x.com | BSL-1.1
+Copyright (C) 2024-2026 Salka Elmadani. BSL-1.1.
+https://git.inference-x.com/inference-x-community/ix-forge
+
+Collective intelligence. Community-owned models.
+Contribute training data. Improve models. Share results.
+"""
+from fastapi import FastAPI, Request, UploadFile, File
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+import sqlite3, json, time, os, hashlib
+
+app = FastAPI(title="IX Forge", version="1.0.0")
+app.add_middleware(CORSMiddleware, allow_origins=["*"],
+                   allow_methods=["*"], allow_headers=["*"])
+
+DB = os.environ.get("FORGE_DB", "./forge.db")
+
+def db():
+    conn = sqlite3.connect(DB); conn.row_factory = sqlite3.Row; return conn
+
+def init_db():
+    with db() as c:
+        c.execute("""CREATE TABLE IF NOT EXISTS contributions (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            type TEXT DEFAULT 'qa',
+            language TEXT DEFAULT 'en',
+            domain TEXT DEFAULT 'general',
+            data TEXT,
+            pairs_count INTEGER DEFAULT 0,
+            contributor TEXT DEFAULT 'anonymous',
+            created_at INTEGER,
+            approved INTEGER DEFAULT 0
+        )""")
+        c.execute("""CREATE TABLE IF NOT EXISTS adapters (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            name TEXT, base_model TEXT, description TEXT,
+            download_url TEXT, score REAL DEFAULT 0,
+            contributor TEXT DEFAULT 'anonymous',
+            created_at INTEGER
+        )""")
+        c.commit()
+
+init_db()
+
+@app.post("/contribute")
+async def contribute(request: Request):
+    """Submit training data (Q&A pairs, documents)."""
+    data = await request.json()
+    pairs = data.get("pairs", [])
+    if not pairs:
+        return JSONResponse({"error":"No pairs provided"}, status_code=400)
+    with db() as c:
+        c.execute("""INSERT INTO contributions
+            (type,language,domain,data,pairs_count,contributor,created_at)
+            VALUES (?,?,?,?,?,?,?)""",
+            (data.get("type","qa"), data.get("language","en"),
+             data.get("domain","general"), json.dumps(pairs), len(pairs),
+             data.get("contributor","anonymous"), int(time.time())))
+        c.commit()
+    return {"status":"ok","pairs_accepted":len(pairs),
+             "message":"Thank you for contributing to the community."}
+
+@app.get("/datasets")
+async def datasets(domain: str = None, language: str = None):
+    with db() as c:
+        q = "SELECT id,type,language,domain,pairs_count,contributor,created_at FROM contributions WHERE approved=1"
+        params = []
+        if domain: q += " AND domain=?"; params.append(domain)
+        if language: q += " AND language=?"; params.append(language)
+        rows = c.execute(q, params).fetchall()
+    return {"datasets":[dict(r) for r in rows],"total":len(rows)}
+
+@app.post("/submit-adapter")
+async def submit_adapter(request: Request):
+    """Submit a trained LoRA/QLoRA adapter."""
+    data = await request.json()
+    with db() as c:
+        c.execute("""INSERT INTO adapters (name,base_model,description,download_url,contributor,created_at)
+            VALUES (?,?,?,?,?,?)""",
+            (data.get("name",""), data.get("base_model",""),
+             data.get("description",""), data.get("download_url",""),
+             data.get("contributor","anonymous"), int(time.time())))
+        c.commit()
+    return {"status":"ok","message":"Adapter submitted for community review."}
+
+@app.get("/adapters")
+async def adapters():
+    with db() as c:
+        rows = c.execute("SELECT id,name,base_model,description,score,contributor FROM adapters ORDER BY score DESC").fetchall()
+    return {"adapters":[dict(r) for r in rows]}
+
+@app.get("/leaderboard")
+async def leaderboard():
+    with db() as c:
+        rows = c.execute("""SELECT contributor, COUNT(*) as contributions,
+            SUM(pairs_count) as total_pairs
+            FROM contributions WHERE approved=1
+            GROUP BY contributor ORDER BY total_pairs DESC LIMIT 20""").fetchall()
+    return {"leaderboard":[dict(r) for r in rows]}
+
+@app.get("/health")
+async def health():
+    return {"status":"ok","service":"IX Forge","author":"Salka Elmadani"}
+
+if __name__ == "__main__":
+    import uvicorn
+    print("IX Forge — Community Fine-tuning Platform")
+    print("Collective intelligence. Community-owned models.")
+    uvicorn.run(app, host="0.0.0.0", port=int(os.environ.get("PORT","7937")))