Text Generation
Transformers
Safetensors
qwen2
coder
code
agent
conversational
text-generation-inference
Instructions to use AdminReal/NexusCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdminReal/NexusCoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AdminReal/NexusCoder") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AdminReal/NexusCoder") model = AutoModelForCausalLM.from_pretrained("AdminReal/NexusCoder", 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 AdminReal/NexusCoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AdminReal/NexusCoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AdminReal/NexusCoder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AdminReal/NexusCoder
- SGLang
How to use AdminReal/NexusCoder 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 "AdminReal/NexusCoder" \ --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": "AdminReal/NexusCoder", "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 "AdminReal/NexusCoder" \ --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": "AdminReal/NexusCoder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use AdminReal/NexusCoder with Docker Model Runner:
docker model run hf.co/AdminReal/NexusCoder
File size: 11,849 Bytes
eca5751 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 | """Dead Code Analysis Skill - Phát hiện dead / unreachable code.
Sử dụng control-flow analysis (CFG), use-def chains, static reachability,
và call-graph traversal để phát hiện:
- Unreachable statements
- Unused functions / variables / imports
- Unused private methods
- Unreachable branches (always-true/false conditions)
Author: Hieu Louis (2026)
"""
from __future__ import annotations
from typing import Dict, List
from .base import Skill, SkillContext, SkillCategory, SkillPriority, SkillResult
class DeadCodeAnalysisSkill(Skill):
"""Phát hiện dead code: unreachable, unused, never-called."""
category = SkillCategory.CODE
priority = SkillPriority.LOW
keywords: List[str] = [
"dead code", "unused", "unreachable", "never called",
"dead function", "unused import", "unused variable",
"code không dùng", "code chết", "orphan code",
"zombie code", "dead branch",
]
examples = [
"Find dead code in this module",
"Detect unused private methods",
"Report unreachable branches after refactor",
]
@property
def name(self) -> str:
return "dead_code_analysis"
@property
def description(self) -> str:
return (
"Phát hiện dead code qua CFG + use-def chains + call-graph: "
"unreachable statements, unused symbols, never-called functions."
)
def can_handle(self, prompt: str, context: SkillContext = None) -> float:
prompt_lower = prompt.lower()
score = 0.0
for kw in self.keywords:
if kw in prompt_lower:
score += 0.2
return min(1.0, score)
def execute(self, context: SkillContext) -> SkillResult:
return SkillResult(
success=True,
output="[DeadCodeAnalysis] CFG + use-def + call-graph analysis ready.",
artifacts=[
{"path": "dead_code/analyzer.py", "content": _DEAD_CODE_ANALYZER},
{"path": "dead_code/checklist.md", "content": _DEAD_CODE_CHECKLIST},
],
metadata={
"skill": self.name,
"categories": {
"unreachable_stmt": "Statement after return/raise/break/continue",
"unreachable_branch": "Branch with always-true/false condition",
"unused_local": "Local variable assigned but never read",
"unused_private_method": "Private method never called within module",
"unused_import": "Imported symbol not referenced",
"unreferenced_module": "Module never imported by entry points",
"orphan_file": "File not in build graph / not imported anywhere",
},
"analysis_phases": [
"1. Build module-level AST + import graph",
"2. Build call graph (caller -> callee edges)",
"3. Reachability from public entry points (main, exports, tests)",
"4. Per-function CFG: detect unreachable blocks via predecessor analysis",
"5. Use-def chains: variables defined but never used",
"6. Constant propagation: detect always-true/false conditions",
"7. Cross-module: unreferenced modules / orphan files",
],
"tooling": {
"python": "vulture, pyflakes (F401 unused import), depy (call-graph)",
"javascript": "ts-prune, knip (finds unused exports + files)",
"typescript": "ts-prune, knip",
"go": "deadcode (built into `go tool`)",
"rust": "cargo udeps (needs nightly), cargo machete",
"java": "PMD, IntelliJ 'unused declaration' inspection",
"c++": "cppcheck --enable=unusedFunction",
},
"false_positive_mitigations": [
"Reflection / dynamic dispatch (mark @api entries)",
"Metaprogramming (decorators, __all__, exports)",
"String-based dispatch (event handlers, route registration)",
"External entry points (CLI commands, plugin systems)",
"Test-only utilities (keep if covered by tests)",
],
"ci_integration": {
"fail_on_new": "True — block PRs introducing new dead code",
"allowlist": "Pre-existing dead code tracked in `deadcode-allowlist.yaml`",
"trend_metric": "Track dead_code_lines / total_lines over time",
},
},
suggestions=[
"Provide entry points (main module / CLI) for accurate reachability",
"Mark public API surfaces with @api decorator before scan",
"Allow reflection-heavy modules with explicit allowlist",
],
)
_DEAD_CODE_ANALYZER = '''"""Dead code analyzer: CFG + use-def + call-graph reachability.
Author: Hieu Louis (2026)
"""
from __future__ import annotations
import ast
from collections import defaultdict
from dataclasses import dataclass, field
from typing import Dict, List, Set, Tuple
@dataclass
class DeadCodeFinding:
kind: str # "unreachable" | "unused_local" | "unused_func" ...
file: str
lineno: int
end_lineno: int
symbol: str
reason: str
@dataclass
class AnalysisReport:
findings: List[DeadCodeFinding] = field(default_factory=list)
entry_points: Set[str] = field(default_factory=set)
reachable_funcs: Set[str] = field(default_factory=set)
@property
def dead_function_count(self) -> int:
return sum(1 for f in self.findings if f.kind == "unused_func")
@property
def unreachable_lines(self) -> int:
return sum(
f.end_lineno - f.lineno + 1
for f in self.findings
if f.kind == "unreachable"
)
def analyze(files: List[str], entry_points: Set[str]) -> AnalysisReport:
"""Run full dead-code analysis pipeline."""
report = AnalysisReport(entry_points=entry_points)
# Phase 1: parse all files into module-level defs
defs: Dict[str, Tuple[str, ast.AST]] = {}
for path in files:
src = open(path, encoding="utf-8").read()
try:
tree = ast.parse(src)
except SyntaxError:
continue
for node in tree.body:
name = getattr(node, "name", None)
if name:
defs[name] = (path, node)
# Phase 2: build call graph (caller -> callees)
callers: Dict[str, Set[str]] = defaultdict(set)
for name, (path, node) in defs.items():
for child in ast.walk(node):
if isinstance(child, ast.Call):
callee = _get_callee_name(child)
if callee:
callers[callee].add(name)
# Phase 3: reachability from entry points
reachable: Set[str] = set()
queue = list(entry_points)
while queue:
fn = queue.pop()
if fn in reachable:
continue
reachable.add(fn)
for caller in callers.get(fn, set()):
if caller not in reachable:
queue.append(caller)
report.reachable_funcs = reachable
# Phase 4: emit unused functions (private + not reachable)
for name, (path, node) in defs.items():
is_private = name.startswith("_") or name.islower()
if is_private and name not in reachable and name not in entry_points:
report.findings.append(DeadCodeFinding(
kind="unused_func",
file=path,
lineno=node.lineno,
end_lineno=getattr(node, "end_lineno", node.lineno),
symbol=name,
reason="Private function not reachable from entry points",
))
# Phase 5: per-function unreachable statements
for path, node in defs.values():
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
for stmt in _find_unreachable(node):
report.findings.append(DeadCodeFinding(
kind="unreachable",
file=path,
lineno=stmt.lineno,
end_lineno=getattr(stmt, "end_lineno", stmt.lineno),
symbol=_snippet(stmt),
reason="Statement after return/raise/break/continue",
))
# Phase 6: unused local variables (use-def)
for path, node in defs.values():
for unused in _find_unused_locals(node):
report.findings.append(DeadCodeFinding(
kind="unused_local",
file=path,
lineno=unused.lineno,
end_lineno=unused.lineno,
symbol=unused.id,
reason="Local assigned but never read",
))
return report
def _get_callee_name(call: ast.Call) -> str:
if isinstance(call.func, ast.Name):
return call.func.id
if isinstance(call.func, ast.Attribute):
return call.func.attr
return ""
def _find_unreachable(func: ast.FunctionDef) -> List[ast.stmt]:
"""Return statements appearing after terminator (return/raise/break/continue)."""
unreachable: List[ast.stmt] = []
terminated = False
for stmt in func.body:
if terminated:
unreachable.append(stmt)
continue
if isinstance(stmt, (ast.Return, ast.Raise, ast.Break, ast.Continue)):
terminated = True
return unreachable
def _find_unused_locals(func: ast.FunctionDef) -> List[ast.Name]:
"""Use-def: assigned but never read."""
assigned: Dict[str, ast.Name] = {}
read: Set[str] = set()
for node in ast.walk(func):
if isinstance(node, ast.Name) and isinstance(node.ctx, ast.Store):
assigned.setdefault(node.id, node)
elif isinstance(node, ast.Name) and isinstance(node.ctx, ast.Load):
read.add(node.id)
return [n for name, n in assigned.items() if name not in read]
def _snippet(stmt: ast.stmt) -> str:
"""Short text representation of a statement for the report."""
if isinstance(stmt, ast.Return):
return "return"
if isinstance(stmt, ast.Raise):
return "raise"
if isinstance(stmt, ast.Assign):
return "assign"
return type(stmt).__name__
'''
_DEAD_CODE_CHECKLIST = """# Dead Code Detection Checklist
## Per-Function (CFG-level)
- [ ] Statement after `return` / `raise` / `break` / `continue`?
- [ ] `if False:` / `if True:` constant-folded branches?
- [ ] `while False:` loop body?
- [ ] `assert False` unreachable successors?
- [ ] Exception handler that never matches raised type?
## Per-Module (Symbol-level)
- [ ] Private functions (`_foo`) reachable from public entry points?
- [ ] Module-level constants used anywhere?
- [ ] Imported symbols all referenced?
- [ ] Class methods called (or registered as `@property` / `@staticmethod`)?
## Per-Codebase (Graph-level)
- [ ] All modules reachable from entry points (main / `__init__.py` / CLI)?
- [ ] All public API functions either have callers or are exported in `__all__`?
- [ ] Plugin-style registrations (`@route`, `@click.command`) covered?
- [ ] Test utilities isolated from production code?
## False Positive Sources
- Reflection: `getattr(obj, "method_name")`
- Dynamic dispatch: registry pattern `REGISTRY["key"]()`
- Serialization: `__init__.py` `__all__` exports
- External API: framework hooks (`pytest fixtures`, `click commands`)
- Type-only imports (TS): `import type { Foo }` — keep for type checks
## Trend Tracking
- Plot `dead_code_lines / total_lines` weekly.
- Set ceiling: e.g. dead ratio < 5%.
- Auto-file issue when ratio increases > 1% in a sprint.
"""
|