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Model: nomeda-lab/fattah-Orch-XS Source: Original Platform
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README.md
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README.md
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---
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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license: apache-2.0
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language:
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- en
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---
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# Fattah-Orch — Arabic-First Coding Orchestrator
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**Fattah-Orch** is a lightweight model that sits at the top of your AI coding pipeline. Give it a software request in **Egyptian Arabic, Modern Standard Arabic, or English** — it thinks through the requirements and returns a clean, structured JSON task graph your coding agents can execute directly.
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<p align="center">
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<img src="https://huggingface.co/nomeda-lab/Fattah-Orch-Small/resolve/main/logo.png" alt="Fattah-Orch Logo" width="800"/>
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</p>
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## The Fattah-Orch Family
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| Model | Parameters | Target Device |
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|---|---|---|
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| [Fattah-Orch-XS](https://huggingface.co/nomeda-lab/Fattah-Orch-XS) | 0.6B | Any CPU |
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| [Fattah-Orch-S](https://huggingface.co/nomeda-lab/Fattah-Orch-Small) | 1.7B | CPU / Weak GPU |
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| [Fattah-Orch-M](https://huggingface.co/nomeda-lab/Fattah-Orch-M) | 4B | GPU / Apple Silicon |
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| [Fattah-Orch-L](https://huggingface.co/nomeda-lab/Fattah-Orch-L) | 8B | Mid GPU 8GB+ |
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---
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## What It Does
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```
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Your Request → Fattah-Orch → JSON Task Graph → Coder Model
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(Arabic / English) (local, fast) (typed + ordered) (GPT-4o, Claude, etc.)
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```
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Instead of sending a vague prompt directly to an expensive coder model, Fattah-Orch breaks it down into precise, typed, dependency-ordered subtasks first. The coder model gets clear instructions — no back-and-forth, fewer tokens, better output.
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---
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## Output Schema
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```json
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{
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"request_summary": "Full sentence describing what was requested",
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"subtasks": [
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{
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"id": 1,
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"title": "Short task name",
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"description": "What to build and what it should do",
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"type": "python",
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"depends_on": []
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},
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{
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"id": 2,
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"title": "Another task",
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"description": "What this builds and why it depends on task 1",
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"type": "typescript",
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"depends_on": [1]
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}
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]
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}
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```
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### Supported Task Types
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| Type | When used |
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|---|---|
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| `python` | Backend, APIs, scripts |
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| `typescript` | Frontend, React, Next.js |
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| `sql` | Database schema, migrations |
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| `go` | High-performance backend services |
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| `kotlin` | Android native |
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| `swift` | iOS native |
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| `bash` | Shell scripts, infrastructure |
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---
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## Usage
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### Installation
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```bash
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pip install unsloth transformers torch
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```
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### Inference
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```python
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import json
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import torch
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from unsloth import FastLanguageModel
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MODEL_NAME = "nomeda-lab/Fattah-Orch-XS" # or -S, -M, -L
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SYSTEM_PROMPT = """You are Fattah-Orch, a software project orchestrator.
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RULES:
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1. Always include BOTH backend AND frontend tasks when the request implies a full system
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2. Each subtask description must be 1-2 sentences explaining WHAT to build and WHAT it should do
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3. request_summary must be a full sentence describing the complete system requested
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4. Output ONLY valid JSON, nothing else
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OUTPUT FORMAT:
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{"request_summary": "...", "subtasks": [{"id": 1, "title": "...", "description": "...", "type": "python|typescript|sql|bash", "depends_on": []}]}"""
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name=MODEL_NAME,
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max_seq_length=2048,
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dtype=None,
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load_in_4bit=True,
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)
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FastLanguageModel.for_inference(model)
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def orchestrate(request: str) -> dict:
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messages = [
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": request},
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize=True,
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add_generation_prompt=True,
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return_tensors="pt",
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enable_thinking=False,
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).to(model.device)
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with torch.no_grad():
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outputs = model.generate(
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input_ids=inputs,
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max_new_tokens=1024,
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temperature=0.3,
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top_p=0.9,
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do_sample=True,
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pad_token_id=tokenizer.eos_token_id,
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)
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response = tokenizer.decode(
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outputs[0][inputs.shape[-1]:],
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skip_special_tokens=True,
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)
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return json.loads(response)
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# Arabic
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plan = orchestrate("عايز تطبيق e-commerce فيه products و cart و checkout")
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print(json.dumps(plan, indent=2, ensure_ascii=False))
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# English
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plan = orchestrate("I want a REST API for a blog with posts, comments and auth")
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print(json.dumps(plan, indent=2, ensure_ascii=False))
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```
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---
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## Example
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**Input:** `"عايز تطبيق e-commerce فيه products و cart و checkout"`
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```json
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{
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"request_summary": "E-commerce application with product listing, shopping cart, and checkout flow",
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"subtasks": [
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{
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"id": 1,
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"title": "Product database model",
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"description": "Define Product model with name, price, stock, and category fields",
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"type": "python",
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"depends_on": []
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},
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{
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"id": 2,
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"title": "Products API",
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"description": "Endpoints to list, create, update, and delete products",
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"type": "python",
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"depends_on": [1]
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},
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{
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"id": 3,
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"title": "Cart and checkout API",
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"description": "Endpoints to add items to cart, view cart, and process checkout with order creation",
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"type": "python",
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"depends_on": [2]
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},
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{
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"id": 4,
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"title": "React storefront UI",
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"description": "Product listing page, cart sidebar, and checkout form that consumes the backend API",
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"type": "typescript",
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"depends_on": [2]
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}
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]
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}
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```
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---
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## Limitations
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- Best performance on Egyptian Arabic colloquial. MSA and other dialects work but may be less fluent.
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- Task description quality improves with model size — XS is a fast baseline, L produces richer output.
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- For very large systems (microservices, monorepos) prefer Orch-M or Orch-L.
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- This model plans tasks — it does not write code. Connect it to a coder model for full end-to-end generation.
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---
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## Citation
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```bibtex
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@model{fattah_orch_2026,
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title = {Fattah-Orch Family: Arabic-First Coding Orchestrator Models},
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author = {Nomeda Lab},
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year = {2026},
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url = {https://huggingface.co/collections/nomeda-lab/fattah-orch-family}
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}
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```
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---
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## License
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[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — free for research and internal use; commercial redistribution requires permission.
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---
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*Part of the **Fattah project** — an open Arabic-first AI coding assistant ecosystem built at Nomeda Lab.*
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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|
{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} {{- '<|im_start|>user' }}
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|
{%- endif %}
|
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{{- '\n<tool_response>\n' }}
|
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|
{{- message.content }}
|
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|
{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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|
{{- '<|im_end|>\n' }}
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|
{%- endif %}
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|
{%- endif %}
|
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|
{%- endfor %}
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|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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64
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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|
],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"torch_dtype": "float16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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|
"intermediate_size": 3072,
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"layer_types": [
|
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"full_attention",
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"full_attention",
|
||||||
|
"full_attention",
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||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
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||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention"
|
||||||
|
],
|
||||||
|
"max_position_embeddings": 40960,
|
||||||
|
"max_window_layers": 28,
|
||||||
|
"model_type": "qwen3",
|
||||||
|
"num_attention_heads": 16,
|
||||||
|
"num_hidden_layers": 28,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"pad_token_id": 151669,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_parameters": {
|
||||||
|
"rope_theta": 1000000,
|
||||||
|
"rope_type": "default"
|
||||||
|
},
|
||||||
|
"sliding_window": null,
|
||||||
|
"tie_word_embeddings": true,
|
||||||
|
"unsloth_fixed": true,
|
||||||
|
"unsloth_version": "2026.4.8",
|
||||||
|
"use_cache": false,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 151936
|
||||||
|
}
|
||||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:eb03ea6f3b26540c2670377df6f1d38fda8bcfdfa1c38d1fcd2fa004d0b03028
|
||||||
|
size 1192135096
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
|
||||||
|
size 11423114
|
||||||
234
tokenizer_config.json
Normal file
234
tokenizer_config.json
Normal file
@@ -0,0 +1,234 @@
|
|||||||
|
{
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"backend": "tokenizers",
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"is_local": false,
|
||||||
|
"model_max_length": 40960,
|
||||||
|
"pad_token": "<|PAD_TOKEN|>",
|
||||||
|
"padding_side": "left",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<|box_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "<|box_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
"content": "<|quad_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
"content": "<|quad_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
"content": "<|vision_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
"content": "<|vision_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151655": {
|
||||||
|
"content": "<|image_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151665": {
|
||||||
|
"content": "<tool_response>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151666": {
|
||||||
|
"content": "</tool_response>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151667": {
|
||||||
|
"content": "<think>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151668": {
|
||||||
|
"content": "</think>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151669": {
|
||||||
|
"content": "<|PAD_TOKEN|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %} {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user