Text Generation
Transformers
Safetensors
English
qwen2
qwen2.5-coder
qwen2.5-coder-3b
code-generation
agentic-ai
tool-use
fine-tuned-llm
stack-4
stack-ai
sovereign-ai
enterprise
local-inference
3b-parameter-model
Eval Results (legacy)
text-generation-inference
Instructions to use my-ai-stack/Stack-4.0-Qwen-3B-Merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use my-ai-stack/Stack-4.0-Qwen-3B-Merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="my-ai-stack/Stack-4.0-Qwen-3B-Merged")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/Stack-4.0-Qwen-3B-Merged") model = AutoModelForCausalLM.from_pretrained("my-ai-stack/Stack-4.0-Qwen-3B-Merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use my-ai-stack/Stack-4.0-Qwen-3B-Merged with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "my-ai-stack/Stack-4.0-Qwen-3B-Merged" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "my-ai-stack/Stack-4.0-Qwen-3B-Merged", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/my-ai-stack/Stack-4.0-Qwen-3B-Merged
- SGLang
How to use my-ai-stack/Stack-4.0-Qwen-3B-Merged 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 "my-ai-stack/Stack-4.0-Qwen-3B-Merged" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "my-ai-stack/Stack-4.0-Qwen-3B-Merged", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "my-ai-stack/Stack-4.0-Qwen-3B-Merged" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "my-ai-stack/Stack-4.0-Qwen-3B-Merged", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use my-ai-stack/Stack-4.0-Qwen-3B-Merged with Docker Model Runner:
docker model run hf.co/my-ai-stack/Stack-4.0-Qwen-3B-Merged
Walid Sobhi commited on
Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,160 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-Coder-3B-Instruct
|
| 3 |
+
datasets:
|
| 4 |
+
- my-ai-stack/Stack-4.0-Dataset
|
| 5 |
+
license: apache-2.0
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
+
library_name: transformers
|
| 9 |
+
pipeline_tag: text-generation
|
| 10 |
+
tags:
|
| 11 |
+
- qwen2.5-coder
|
| 12 |
+
- qwen2.5-coder-3b
|
| 13 |
+
- code-generation
|
| 14 |
+
- agentic-ai
|
| 15 |
+
- tool-use
|
| 16 |
+
- fine-tuned-llm
|
| 17 |
+
- stack-4
|
| 18 |
+
- stack-ai
|
| 19 |
+
- sovereign-ai
|
| 20 |
+
- enterprise
|
| 21 |
+
- local-inference
|
| 22 |
+
- 3b-parameter-model
|
| 23 |
+
model-index:
|
| 24 |
+
- name: Stack 4.0 Omni-Nexus Merged
|
| 25 |
+
results:
|
| 26 |
+
- task:
|
| 27 |
+
type: text-generation
|
| 28 |
+
description: HellaSwag commonsense reasoning
|
| 29 |
+
dataset:
|
| 30 |
+
name: HellaSwag
|
| 31 |
+
type: hellaswag
|
| 32 |
+
metrics:
|
| 33 |
+
- type: acc_norm
|
| 34 |
+
value: 74.0%
|
| 35 |
+
- task:
|
| 36 |
+
type: text-generation
|
| 37 |
+
description: ARC-Challenge reasoning
|
| 38 |
+
dataset:
|
| 39 |
+
name: ARC-Challenge
|
| 40 |
+
type: ai2_arc
|
| 41 |
+
metrics:
|
| 42 |
+
- type: acc_norm
|
| 43 |
+
value: 52.0%
|
| 44 |
+
---
|
| 45 |
+
|
| 46 |
+
<div style="background-color: #030406; padding: 60px 40px; border-radius: 40px 40px 0 0; border: 1px solid #111827; border-bottom: none; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; color: #ffffff; text-align: center; position: relative; overflow: hidden;">
|
| 47 |
+
|
| 48 |
+
<div style="position: absolute; top: -100px; left: -100px; width: 400px; height: 400px; background: radial-gradient(circle, rgba(219, 39, 119, 0.08) 0%, transparent 70%);"></div>
|
| 49 |
+
|
| 50 |
+
<div style="margin: 0 auto 30px; width: 80px; height: 60px; position: relative;">
|
| 51 |
+
<div style="position: absolute; width: 100%; height: 18px; background: linear-gradient(135deg, #c084fc 0%, #db2777 100%); border-radius: 6px; top: 0px; z-index: 3; box-shadow: 0 10px 20px rgba(0,0,0,0.5); border-bottom: 2px solid rgba(0,0,0,0.2);"></div>
|
| 52 |
+
<div style="position: absolute; width: 100%; height: 18px; background: linear-gradient(135deg, #c084fc 0%, #db2777 100%); border-radius: 6px; top: 22px; z-index: 2; opacity: 0.7; border-bottom: 2px solid rgba(0,0,0,0.2);"></div>
|
| 53 |
+
<div style="position: absolute; width: 100%; height: 18px; background: linear-gradient(135deg, #c084fc 0%, #db2777 100%); border-radius: 6px; top: 44px; z-index: 1; opacity: 0.4; border-bottom: 2px solid rgba(0,0,0,0.2);"></div>
|
| 54 |
+
</div>
|
| 55 |
+
|
| 56 |
+
<h1 style="background: linear-gradient(135deg, #ffffff 0%, #a1a1aa 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; font-size: 3rem; letter-spacing: -1.5px; margin: 10px 0; font-weight: 800;">Stack 4.0 Omni-Nexus</h1>
|
| 57 |
+
|
| 58 |
+
<p style="color: #db2777; font-weight: 600; letter-spacing: 3px; text-transform: uppercase; font-size: 0.85rem; margin-bottom: 30px; opacity: 0.9;">Merged · 3B Parameters · Sovereign Agentic Infrastructure</p>
|
| 59 |
+
|
| 60 |
+
<div align="center" style="display: flex; justify-content: center; gap: 10px; flex-wrap: wrap;">
|
| 61 |
+
<img src="https://img.shields.io/badge/Release-v4.0_Alpha-db2777?style=for-the-badge" alt="Version">
|
| 62 |
+
<img src="https://img.shields.io/badge/Network-Global-111827?style=for-the-badge&border=db2777" alt="Network">
|
| 63 |
+
<img src="https://img.shields.io/badge/Security-Sovereign-c084fc?style=for-the-badge" alt="Security">
|
| 64 |
+
</div>
|
| 65 |
+
|
| 66 |
+
<div style="height: 1px; width: 100%; background: linear-gradient(to right, transparent, #111827, #db2777, #111827, transparent); margin-top: 50px; opacity: 0.5;"></div>
|
| 67 |
+
</div>
|
| 68 |
+
|
| 69 |
+
---
|
| 70 |
+
|
| 71 |
+
# Stack 4.0 Omni-Nexus — Merged
|
| 72 |
+
|
| 73 |
+
**Model ID:** `my-ai-stack/Stack-4.0-Qwen-3B-Merged`
|
| 74 |
+
|
| 75 |
+
A 3-billion parameter instruction-tuned coding model, fully merged from Qwen2.5-Coder-3B-Instruct with 55,000 agentic tool-use conversations baked in. This is the standalone version — no adapter needed, runs directly on any compatible hardware.
|
| 76 |
+
|
| 77 |
+
## Performance Benchmarks
|
| 78 |
+
|
| 79 |
+
| Benchmark | Score | Notes |
|
| 80 |
+
|-----------|-------|-------|
|
| 81 |
+
| HellaSwag (acc_norm) | **74.0%** | 50-sample eval |
|
| 82 |
+
| ARC-Challenge (acc_norm) | **52.0%** | 50-sample eval |
|
| 83 |
+
| Internal coding sample | **10/10** | All valid Python produced |
|
| 84 |
+
|
| 85 |
+
## Key Metrics
|
| 86 |
+
|
| 87 |
+
| Metric | Value |
|
| 88 |
+
|--------|-------|
|
| 89 |
+
| Parameters | **3B** |
|
| 90 |
+
| Training loss (final) | **0.1411** |
|
| 91 |
+
| Training steps | 1,000 |
|
| 92 |
+
| Hardware | GCP Tesla V100 16GB |
|
| 93 |
+
| Training time | ~10 hours |
|
| 94 |
+
|
| 95 |
+
## Why Merged?
|
| 96 |
+
|
| 97 |
+
The merged version ships the full model in a single file — no LoRA adapters, no base model dependency. Deploy anywhere that supports Hugging Face Transformers.
|
| 98 |
+
|
| 99 |
+
## Usage
|
| 100 |
+
|
| 101 |
+
```python
|
| 102 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 103 |
+
import torch
|
| 104 |
+
|
| 105 |
+
MODEL = "my-ai-stack/Stack-4.0-Qwen-3B-Merged"
|
| 106 |
+
|
| 107 |
+
tokenizer = AutoTokenizer.from_pretrained(MODEL, trust_remote_code=True)
|
| 108 |
+
tokenizer.pad_token = tokenizer.eos_token
|
| 109 |
+
|
| 110 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 111 |
+
MODEL, torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True
|
| 112 |
+
)
|
| 113 |
+
model.eval()
|
| 114 |
+
|
| 115 |
+
messages = [{"role": "user", "content": "Write a quicksort in Python"}]
|
| 116 |
+
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 117 |
+
inputs = tokenizer(text, return_tensors="pt").to(model.device)
|
| 118 |
+
|
| 119 |
+
with torch.no_grad():
|
| 120 |
+
out = model.generate(**inputs, max_new_tokens=512, temperature=0.7)
|
| 121 |
+
|
| 122 |
+
print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
|
| 123 |
+
```
|
| 124 |
+
|
| 125 |
+
## Training Details
|
| 126 |
+
|
| 127 |
+
| Parameter | Value |
|
| 128 |
+
|-----------|-------|
|
| 129 |
+
| Method | QLoRA → Merged |
|
| 130 |
+
| LoRA rank | 16 |
|
| 131 |
+
| Trainable params | 7.3M / 3.1B (0.24%) |
|
| 132 |
+
| Batch size | 1 |
|
| 133 |
+
| Grad accumulation | 16 |
|
| 134 |
+
| Max length | 512 |
|
| 135 |
+
| Learning rate | 2e-4 |
|
| 136 |
+
| Optimizer | AdamW (bf16) |
|
| 137 |
+
| Hardware | GCP V100 16GB |
|
| 138 |
+
|
| 139 |
+
## Limitations
|
| 140 |
+
|
| 141 |
+
- **3B model** — smaller than 7B models; less capable on complex multi-step reasoning
|
| 142 |
+
- **English-optimized** — other language performance may vary
|
| 143 |
+
- **Tool execution** — tool calls are generated but actual execution requires an agent loop in your application
|
| 144 |
+
|
| 145 |
+
## See Also
|
| 146 |
+
|
| 147 |
+
- [LoRA Adapter version](https://huggingface.co/my-ai-stack/Stack-4.0-Qwen-3B-Agentic) — smaller, needs base model
|
| 148 |
+
- [Training dataset](https://huggingface.co/my-ai-stack/Stack-4.0-Dataset)
|
| 149 |
+
- [Stack 3.0 (7B)](https://huggingface.co/my-ai-stack/Stack-3.0-Omni-Nexus)
|
| 150 |
+
|
| 151 |
+
## Citation
|
| 152 |
+
|
| 153 |
+
```bibtex
|
| 154 |
+
@misc{stack-4-merged-2026,
|
| 155 |
+
title={Stack 4.0 Omni-Nexus — Merged},
|
| 156 |
+
author={Stack AI Team},
|
| 157 |
+
year={2026},
|
| 158 |
+
url={https://huggingface.co/my-ai-stack/Stack-4.0-Qwen-3B-Merged}
|
| 159 |
+
}
|
| 160 |
+
```
|