my-ai-stack/Stack-2-9-finetuned
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</p>
Stack 2.9 - AI Agent Framework with 57 Premium Tools 🔧
A fine-tuned code assistant + comprehensive tool ecosystem for AI agents
Stack 2.9 is a code generation model fine-tuned from Qwen2.5-Coder-1.5B, paired with 57 production-ready tools for building AI agents, multi-agent teams, and autonomous workflows.
⭐ Premium Tools (Featured)
🔬 Code Intelligence
🤖 Multi-Agent Orchestration
📅 Task & Scheduling
🌐 Web & Data
🛠️ Infrastructure
🧠 Advanced Intelligence Enhancements
Stack 2.9 is more than just a code generator; it is an intelligent agent equipped with a suite of cognitive enhancements:
🚀 Quick Start
1. Load the Model
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"my-ai-stack/Stack-2-9-finetuned",
torch_dtype="auto",
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/Stack-2-9-finetuned")2. Use the Tool Framework
from src.tools import get_registry
registry = get_registry()
print(registry.list()) # List all 57 tools
# Call a tool
result = await registry.call("grep", {"pattern": "def main", "path": "./src"})🛠️ Full Tool List (57 Tools)
File Operations (5)
file_read · file_write · file_delete · file_edit_insert · file_edit_replace
Code Search (4)
grep · grep_count · glob · glob_list
Task Management (7)
task_create · task_list · task_update · task_delete · task_get · task_output · task_stop
Agent & Team (10)
agent_spawn · agent_status · agent_list · team_create · team_delete · team_list · team_status · team_assign · team_disband · team_leave
Scheduling (3)
cron_create · cron_list · cron_delete
Skills (5)
skill_list · skill_execute · skill_info · skill_chain · skill_search
Web (3)
web_search · web_fetch · web_fetch_meta
Messaging (4)
message_send · message_list · message_channel · message_template
Remote & MCP (4)
remote_add · remote_list · remote_trigger · remote_remove · mcp_call · mcp_list_servers · read_mcp_resource
Config & Plan (8)
config_get · config_set · config_list · config_delete · enter_plan_mode · exit_plan_mode · plan_add_step · plan_status
Interactive (3)
ask_question · get_pending_questions · answer_question
Tools Discovery (4)
tool_search · tool_list_all · tool_info · tool_capabilities
Todo (4)
todo_add · todo_list · todo_complete · todo_delete
Misc (5)
brief · brief_summary · sleep · wait_for · synthetic_output · structured_data · enter_worktree · exit_worktree · list_worktrees
Model Overview
Hardware Requirements
Training Details
- Method: LoRA (Low-Rank Adaptation)
- LoRA Rank: 8
- LoRA Alpha: 16
- Target Modules: All linear layers (qproj, kproj, vproj, oproj, gateproj, upproj, down_proj)
- Epochs: ~0.8
- Final Loss: 0.0205
- Data Source: Stack Overflow Q&A (Python-heavy)
Quick Links
Limitations
- Model Size: At 1.5B parameters, smaller than state-of-the-art models (7B, 32B)
- Training Data: Primarily Python-focused; other languages may have lower quality
- Hallucinations: May occasionally generate incorrect code; verification recommended
Citation
@misc{my-ai-stack/stack-2-9-finetuned,
author = {Walid Sobhi},
title = {Stack 2.9: Fine-tuned Qwen2.5-Coder-1.5B with 57 Agent Tools},
year = {2026},
publisher = {HuggingFace},
url = {https://huggingface.co/my-ai-stack/Stack-2-9-finetuned}
}<p align="center"> Built with ❤️ for developers<br/> <a href="https://discord.gg/clawd">Discord</a> · <a href="https://github.com/my-ai-stack/stack-2.9">GitHub</a> · <a href="https://huggingface.co/my-ai-stack">HuggingFace</a> </p>
