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
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Nexus Coder v0.2 có 15 skills chuyên môn, được tổ chức theo 5 categories.
## Categories
| Category | Skills |
|----------|--------|
| CODE | code_generation, code_review, code_refactor, debugging, documentation, testing |
| REASONING | algorithm_design, reasoning, math_skill |
| LANGUAGE | translation, summarization |
| DATA | data_analysis, sql_generation |
| SECURITY | security_audit |
| DEVOPS | performance_optimization |
## Skill List
### 1. code_generation
- **Category**: CODE
- **Priority**: HIGH
- **Description**: Sinh code từ mô tả tự nhiên
- **Languages**: Python, JavaScript, TypeScript, Go, Rust, C++, Java, SQL
- **Example**: "Viết hàm Python tính fibonacci"
### 2. code_review
- **Category**: CODE
- **Priority**: HIGH
- **Description**: Review code toàn diện
- **Checks**: bugs, security, performance, style, error handling, type safety
- **Example**: "Review đoạn code này giúp tôi"
### 3. code_refactor
- **Category**: CODE
- **Priority**: MEDIUM
- **Description**: Refactor code an toàn
- **Patterns**: Extract Method/Class, Rename, Move, Replace Conditional, etc.
- **Example**: "Refactor hàm này cho clean hơn"
### 4. debugging
- **Category**: CODE
- **Priority**: CRITICAL
- **Description**: Debug code với 7-step protocol
- **Supports**: Python, JavaScript, Java, Go, Rust, C++, Ruby
- **Example**: "Fix lỗi IndexError trong hàm này"
### 5. documentation
- **Category**: CODE
- **Priority**: MEDIUM
- **Description**: Sinh tài liệu tự động
- **Types**: Docstrings (Google/NumPy/Sphinx), README, API ref, tutorials
- **Example**: "Sinh docstring cho hàm này"
### 6. testing
- **Category**: CODE
- **Priority**: HIGH
- **Description**: Sinh tests
- **Types**: unit, integration, E2E, property-based, mutation, fuzz, snapshot
- **Frameworks**: pytest, unittest, jest, vitest, mocha, cargo test, JUnit
- **Example**: "Viết unit tests cho class User"
### 7. algorithm_design
- **Category**: REASONING
- **Priority**: MEDIUM
- **Description**: Thiết kế thuật toán
- **Approaches**: Brute force, Greedy, D&C, DP, Backtracking, Graph algorithms
- **Example**: "Tối ưu thuật toán này từ O(n²) xuống O(n log n)"
### 8. data_analysis
- **Category**: DATA
- **Priority**: MEDIUM
- **Description**: Phân tích dữ liệu
- **Steps**: Loading, cleaning, statistics, correlation, outliers, visualization
- **Libraries**: pandas, numpy, scipy, matplotlib, seaborn, plotly
- **Example**: "Phân tích dataset này và tìm insights"
### 9. translation
- **Category**: LANGUAGE
- **Priority**: MEDIUM
- **Description**: Dịch song ngữ Việt-Anh
- **Pairs**: vi↔en, vi↔zh, vi↔ja, vi↔ko, vi↔fr
- **Example**: "Dịch đoạn văn này sang tiếng Anh"
### 10. summarization
- **Category**: LANGUAGE
- **Priority**: MEDIUM
- **Description**: Tóm tắt văn bản
- **Methods**: extractive, abstractive, key phrase, topic modeling
- **Example**: "Tóm tắt bài viết này trong 3 câu"
### 11. reasoning
- **Category**: REASONING
- **Priority**: HIGH
- **Description**: Suy luận đa bước
- **Strategies**: CoT, ToT, Self-Consistency, Reflexion, ReAct, Least-to-Most
- **Example**: "Tại sao bầu trời màu xanh?"
### 12. math_skill
- **Category**: REASONING
- **Priority**: HIGH
- **Description**: Giải toán đa cấp
- **Domains**: arithmetic, algebra, calculus, linear algebra, probability, statistics
- **Tools**: sympy, numpy, scipy
- **Example**: "Tính đạo hàm của x³ + 2x²"
### 13. sql_generation
- **Category**: DATA
- **Priority**: HIGH
- **Description**: Sinh SQL queries
- **Dialects**: PostgreSQL, MySQL, SQLite, SQL Server, Oracle, BigQuery, Snowflake
- **Example**: "Viết SQL tìm top 10 khách hàng"
### 14. security_audit
- **Category**: SECURITY
- **Priority**: CRITICAL
- **Description**: Audit bảo mật
- **Standards**: OWASP Top 10, SAST, dependency vulnerabilities
- **Tools**: bandit, semgrep, safety, pip-audit, trufflehog
- **Example**: "Audit code này cho security issues"
### 15. performance_optimization
- **Category**: DEVOPS
- **Priority**: MEDIUM
- **Description**: Tối ưu hiệu năng
- **Categories**: algorithmic, memory, concurrency, caching, I/O, Python-specific
- **Tools**: cProfile, line_profiler, memory_profiler, py-spy
- **Example**: "Tối ưu hàm này đang chạy chậm"
## Usage
```python
from nexus.skills import get_global_registry
from nexus.skills.base import SkillContext
registry = get_global_registry()
# List all skills
print(registry.list_skills())
# Route prompt to best skill
skill = registry.route("Viết hàm Python tính giai thừa")
print(f"Selected: {skill.name}")
# Execute skill
context = SkillContext(prompt="Viết hàm Python tính giai thừa")
result = skill.execute(context)
print(result.output)
```
## Custom Skills
Tạo skill tùy chỉnh:
```python
from nexus.skills.base import Skill, SkillResult, SkillContext, SkillCategory, SkillPriority
class MyCustomSkill(Skill):
category = SkillCategory.CODE
priority = SkillPriority.MEDIUM
keywords = ["custom", "riêng"]
@property
def name(self) -> str:
return "my_custom_skill"
@property
def description(self) -> str:
return "My custom skill description"
def execute(self, context: SkillContext) -> SkillResult:
return SkillResult(success=True, output="Custom result")
# Register
from nexus.skills import get_global_registry
get_global_registry().register(MyCustomSkill())
```
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