File size: 3,372 Bytes
d4e7c9e bf0e3a6 ae2ecf1 bf0e3a6 d4e7c9e ae2ecf1 d4e7c9e ae2ecf1 bf0e3a6 d4e7c9e bf0e3a6 d4e7c9e bf0e3a6 ae2ecf1 | 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 | ---
title: Stack X Ultimate
emoji: 🔥
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 6.13.0
app_file: app.py
pinned: false
description: >-
Open-source agentic model with tool calling. Deploy on your own GPU — no API
costs.
tags:
- agentic
- tool-calling
- llm
- qwen
- open-source
- local-ai
license: apache-2.0
---
# Stack X Ultimate — Agentic Tool-Calling Model
<div align="center">
**Open-source agentic model that calls real tools. Deploy on your GPU — no API key required.**
[](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct)
[](https://github.com/QwenLM/Qwen2.5-Coder)
[](LICENSE)
</div>
---
## What It Does
Stack X Ultimate is a fine-tuned Qwen2.5-Coder-3B-Instruct optimized for **agentic tool-calling workflows**:
- 🔢 **Calculator** — evaluates mathematical expressions
- 🕐 **Current Time** — returns live UTC timestamp
- 📁 **File Search** — glob-based file discovery in directory trees
- ⚡ **Command Execution** — runs shell commands and returns structured output
The model decides *when* to call tools and *how* to interpret results — mirroring how GPT-4 and Claude handle function calling, but running entirely on your infrastructure.
---
## Quick Start
### Try in Browser
Use the chat interface above — try the pre-loaded examples or type your own query.
### Run Locally
```bash
# Clone the model
git lfs install
git clone https://huggingface.co/my-ai-stack/Stack-X-Ultimate
# Run with llama.cpp
./llama.cpp -m ./Stack-X-Ultimate/unsloth.Q4_K_M.gguf \
-n 8192 \
--ctx-size 8192 \
-p "You are a helpful AI assistant with tool calling."
# Or with transformers
python3 -c "
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('my-ai-stack/Stack-X-Ultimate')
tok = AutoTokenizer.from_pretrained('my-ai-stack/Stack-X-Ultimate')
print('Model loaded!')
"
```
---
## Architecture
| Component | Detail |
|---|---|
| Base Model | Qwen/Qwen2.5-Coder-3B-Instruct |
| Fine-tune Method | QLoRA 4-bit (r=32, all 7 target modules) |
| Training Data | 27,000+ agentic tool-call examples |
| Sequence Length | 8,192 tokens |
| VRAM Required | ~6 GB (Q4_K_M GGUF) |
| Min. Hardware | Single V100 16GB or equivalent |
---
## Available Tools
| Tool | Description | Example |
|---|---|---|
| `calculator` | Evaluate math expressions | `1500 * 0.07 * 30` |
| `get_current_time` | Return current UTC time | — |
| `search_files` | Glob-based file search | `*.py` in `./src` |
| `run_command` | Execute shell commands | `git status` |
---
## Enterprise Deployment
Need tool integrations specific to your stack? Want to deploy inside your VPC?
📬 **[Contact Stack AI →](https://www.stack-ai.me/contact)**
- Custom tool integrations (APIs, databases, internal systems)
- VPC-isolated deployment (AWS / GCP / Azure)
- Air-gapped / on-prem installation
- Custom LoRA fine-tuning on your data
---
## License
Apache 2.0 — free for commercial and personal use.
---
*Stack AI — Sovereign AI Infrastructure. [huggingface.co/my-ai-stack](https://huggingface.co/my-ai-stack) · [stack-ai.me](https://www.stack-ai.me)* |