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Model: Haubaa/SANU-AI-7B-v0.1-GGUF Source: Original Platform
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---
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license: apache-2.0
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language:
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- en
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- ne
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base_model: Qwen/Qwen2.5-7B-Instruct
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pipeline_tag: text-generation
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tags:
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- sanu-ai
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- nepal
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- nepali
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- gguf
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- ollama
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- llama-cpp
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- quantized
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- bilingual
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---
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<div align="center">
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# SANU AI v0.1 — GGUF
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### Run Nepal's First AI on Your Own Computer
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://ollama.com)
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[](https://github.com/Haubaa)
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**No internet needed. No API keys. No cost. Just download and run.**
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</div>
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---
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## Available Files
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| File | Size | RAM Needed | Quality | Best For |
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|------|------|-----------|---------|----------|
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| **`sanu-ai-v01-Q4_K_M.gguf`** | **4.36 GB** | 8 GB | Good | **Most users — recommended** |
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| `sanu-ai-v01-Q8_0.gguf` | 7.54 GB | 16 GB | Best | If you have 16GB+ RAM |
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> **Which one?** If you are not sure, download **Q4_K_M**. It works on most laptops.
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## Setup with Ollama (Easiest)
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### Step 1: Install Ollama
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- **Windows/Mac/Linux**: Download from [ollama.com](https://ollama.com)
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- Or on Linux: `curl -fsSL https://ollama.com/install.sh | sh`
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### Step 2: Download the GGUF File
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Click the **download** button next to `sanu-ai-v01-Q4_K_M.gguf` in the Files tab above.
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### Step 3: Create a Modelfile
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Create a file named `Modelfile` (no extension) in the same folder as the GGUF:
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```
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FROM ./sanu-ai-v01-Q4_K_M.gguf
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TEMPLATE "<|im_start|>system
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{{ .System }}<|im_end|>
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<|im_start|>user
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{{ .Prompt }}<|im_end|>
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<|im_start|>assistant
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"
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SYSTEM "You are SANU AI (Smart Agentic Neural Unit), Nepal's first agentic AI assistant. You were created by the SANU AI team in Nepal. You understand and respond fluently in both Nepali and English. You know about Nepal's culture, geography, economy, government services, and daily life. You are helpful, respectful, and culturally aware."
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PARAMETER temperature 0.7
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PARAMETER top_p 0.9
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PARAMETER repeat_penalty 1.1
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PARAMETER stop <|im_end|>
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```
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### Step 4: Create and Run
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```bash
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ollama create sanu-ai -f Modelfile
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ollama run sanu-ai
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```
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### Step 5: Chat!
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```
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>>> timi ko ho?
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SANU: Ma SANU AI hu — Nepal ko pahilo AI assistant!
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>>> NEPSE ma invest garna ke garne?
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SANU: NEPSE ma invest garna pahile DMAT account kholnuparcha...
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>>> Tell me about Dashain
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SANU: Dashain is Nepal's biggest festival, celebrated for 15 days...
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```
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## Use with llama.cpp
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```bash
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./llama-cli -m sanu-ai-v01-Q4_K_M.gguf \
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-p "<|im_start|>system\nYou are SANU AI.<|im_end|>\n<|im_start|>user\ntimi ko ho?<|im_end|>\n<|im_start|>assistant\n" \
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-n 256 --temp 0.7 --top-p 0.9 --repeat-penalty 1.1
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```
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## Use with Python (llama-cpp-python)
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```python
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from llama_cpp import Llama
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llm = Llama(model_path="./sanu-ai-v01-Q4_K_M.gguf", n_ctx=2048)
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response = llm.create_chat_completion(
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messages=[
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{"role": "system", "content": "You are SANU AI, Nepal's first AI assistant."},
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{"role": "user", "content": "Nepal ko capital k ho?"}
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],
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temperature=0.7,
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)
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print(response["choices"][0]["message"]["content"])
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```
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## Model Info
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| Property | Value |
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|----------|-------|
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| **Base Model** | Qwen 2.5 7B Instruct |
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| **Fine-tuning** | QLoRA r=16, 290 bilingual samples |
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| **Training Loss** | 1.3724 |
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| **Training GPU** | Kaggle P100 (free), 68.9 min |
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| **Languages** | English + Nepali (+ 8 ethnic languages) |
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| **License** | Apache 2.0 (free for everything) |
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| **LoRA Adapter** | [Haubaa/SANU-AI-7B-v0.1](https://huggingface.co/Haubaa/SANU-AI-7B-v0.1) |
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## Example Prompts to Try
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| Nepali | English |
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|--------|---------|
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| timi ko ho? | Who are you? |
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| Nepal ma ayakar kati cha? | What is the income tax in Nepal? |
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| NEPSE ma kasari invest garne? | How to invest in NEPSE? |
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| Kathmandu ma momo kaha ramro paucha? | Where to find good momo in Kathmandu? |
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| Dashain ko barema batau | Tell me about Dashain |
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| Passport kasari banaune? | How to get a passport? |
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## Note
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This is **Phase 1** (proof of concept) trained on 290 samples. Future versions will have 10K-50K+ samples for significantly better accuracy on Nepal-specific knowledge.
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---
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<div align="center">
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**Built in Nepal, for Nepal, for the world.**
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**[Haubaa](https://huggingface.co/Haubaa)** | SANU AI Project
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</div>
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sanu-ai-v01-Q4_K_M.gguf
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