Text Generation
GGUF
English
Arabic
code
gemma2
google
mantiq
logic
arabic
epistemology
reasoning
chain-of-thought
aynengine
conversational
Instructions to use enver/ayncoding-gemma2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use enver/ayncoding-gemma2-2b with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: llama cli -hf enver/ayncoding-gemma2-2b
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: llama cli -hf enver/ayncoding-gemma2-2b
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: ./llama-cli -hf enver/ayncoding-gemma2-2b
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: ./build/bin/llama-cli -hf enver/ayncoding-gemma2-2b
Use Docker
docker model run hf.co/enver/ayncoding-gemma2-2b
- LM Studio
- Jan
- vLLM
How to use enver/ayncoding-gemma2-2b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "enver/ayncoding-gemma2-2b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "enver/ayncoding-gemma2-2b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/enver/ayncoding-gemma2-2b
- Ollama
How to use enver/ayncoding-gemma2-2b with Ollama:
ollama run hf.co/enver/ayncoding-gemma2-2b
- Unsloth Desktop
- Docker Model Runner
How to use enver/ayncoding-gemma2-2b with Docker Model Runner:
docker model run hf.co/enver/ayncoding-gemma2-2b
- Lemonade
How to use enver/ayncoding-gemma2-2b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull enver/ayncoding-gemma2-2b
Run and chat with the model
lemonade run user.ayncoding-gemma2-2b-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 6,078 Bytes
7d05fd2 | 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 | #!/usr/bin/env python3
"""
ast_validator.py
Pillar 5: Al-Kitāb of Sībawayh (Syntactic Governance & AST Integrity)
Provides strict AST parsing, bracket balancing, zero-loss placeholder detection,
and markdown code extraction.
"""
import ast
import json
import re
import subprocess
from dataclasses import dataclass
from typing import Optional, List, Dict, Any
@dataclass
class AstValidationResult:
"""Teleological evaluation outcome for AST and syntactic integrity."""
is_valid: bool
diagnostic_error: Optional[str] = None
target_language: str = "python"
class AynAstValidator:
"""
Sovereign AST validator enforcing strict syntactic correctness
and zero-loss completeness across multiple target languages.
"""
# Banned placeholder definitions constructed dynamically to prevent self-collision during audits
_PLACEHOLDER_MARKERS = [
r'//\s*' + 'TODO',
r'#\s*' + 'TODO',
r'/\*\s*' + 'TODO',
r'//\s*' + 'implement' + r'\s+here',
r'#\s*' + 'implement' + r'\s+here',
r'pass\s*#\s*' + 'implement',
r'//\s*\.\.\.\s*' + 'rest of code',
r'#\s*\.\.\.\s*' + 'rest of code',
r'/\*\s*\.\.\.\s*' + 'rest of code' + r'\s*\*/'
]
@classmethod
def extract_code_block(cls, source_response: str, language_name: str = "python") -> str:
"""Extracts pure code from markdown fences or returns the source text cleaned."""
trimmed_source = source_response.strip()
fence_pattern = rf"```(?:{language_name}|[a-zA-Z0-9_\-]+)?\s*([\s\S]*?)```"
fenced_blocks = list(re.finditer(fence_pattern, trimmed_source, re.IGNORECASE))
if fenced_blocks:
captured_blocks = [m.group(1).strip() for m in fenced_blocks]
return max(captured_blocks, key=len)
return trimmed_source
@classmethod
def validate_syntax(cls, source_code: str, language_name: str) -> AstValidationResult:
"""Validates the AST structure according to language-specific compilers."""
normalized_lang = language_name.lower()
if normalized_lang in ["python", "py"]:
return cls._validate_python_ast(source_code)
if normalized_lang in ["json"]:
return cls._validate_json_syntax(source_code)
if normalized_lang in ["js", "javascript"]:
return cls._validate_javascript_ast(source_code)
return cls._validate_bracket_symmetry(source_code, normalized_lang)
@classmethod
def _validate_python_ast(cls, source_code: str) -> AstValidationResult:
try:
ast.parse(source_code)
return AstValidationResult(is_valid=True, target_language="python")
except SyntaxError as syntax_err:
message = f"Python SyntaxError at line {syntax_err.lineno}: {syntax_err.msg}"
return AstValidationResult(is_valid=False, diagnostic_error=message, target_language="python")
@classmethod
def _validate_json_syntax(cls, source_code: str) -> AstValidationResult:
try:
json.loads(source_code)
return AstValidationResult(is_valid=True, target_language="json")
except Exception as json_err:
return AstValidationResult(is_valid=False, diagnostic_error=f"JSON SyntaxError: {json_err}", target_language="json")
@classmethod
def _validate_javascript_ast(cls, source_code: str) -> AstValidationResult:
try:
execution = subprocess.run(
["node", "--check"],
input=source_code,
capture_output=True,
text=True,
timeout=10
)
if execution.returncode == 0:
return AstValidationResult(is_valid=True, target_language="javascript")
err_diag = execution.stderr.strip() or "JavaScript SyntaxError detected by node compiler."
return AstValidationResult(is_valid=False, diagnostic_error=err_diag, target_language="javascript")
except FileNotFoundError as missing_runtime_err:
fallback_reason = f"Node runtime unavailable ({missing_runtime_err}); falling back to bracket inspection."
return cls._validate_bracket_symmetry(source_code, "javascript")
except Exception as exec_err:
return AstValidationResult(is_valid=False, diagnostic_error=f"Node execution failure: {exec_err}", target_language="javascript")
@classmethod
def _validate_bracket_symmetry(cls, source_code: str, language_name: str) -> AstValidationResult:
bracket_mapping = {'(': ')', '{': '}', '[': ']'}
closing_delimiters = set(bracket_mapping.values())
symbol_stack: List[str] = []
for char_token in source_code:
if char_token in bracket_mapping:
symbol_stack.append(bracket_mapping[char_token])
continue
if char_token not in closing_delimiters:
continue
if not symbol_stack or symbol_stack[-1] != char_token:
error_msg = f"Mismatched bracket delimiter '{char_token}' in {language_name} stream."
return AstValidationResult(is_valid=False, diagnostic_error=error_msg, target_language=language_name)
symbol_stack.pop()
if symbol_stack:
unclosed_symbols = ", ".join(symbol_stack)
error_msg = f"Unclosed brackets remaining in stream: [{unclosed_symbols}]"
return AstValidationResult(is_valid=False, diagnostic_error=error_msg, target_language=language_name)
return AstValidationResult(is_valid=True, target_language=language_name)
@classmethod
def detect_banned_placeholders(cls, source_code: str) -> List[str]:
"""Detects banned lazy placeholders that violate the Zero-Loss sovereign standard."""
detected_violations: List[str] = []
for pattern_str in cls._PLACEHOLDER_MARKERS:
if re.search(pattern_str, source_code, re.IGNORECASE):
detected_violations.append(pattern_str)
return detected_violations
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