---
language:
- ar
- en
base_model:
- QCRI/Fanar-1-9B-Instruct
pipeline_tag: text-generation
---

# Fanar-1-9B-Instruct — GGUF quantized

This repo contains multiple **GGUF** builds of the Arabic-English LLM **Fanar-1-9B-Instruct**, the instruction-tuned variant of Fanar-1-9B created by QCRI / HBKU. The base model is a 9 B-parameter continuation of **gemma-2-9b** trained on ≈1 T Arabic + English tokens and aligned through SFT → DPO (4.5 M / 250 K pairs). License remains **Apache-2.0** and the context window is **4 096 tokens**. :contentReference[oaicite:0]{index=0}  

---

## Available files  

| Bits | Format | Size (≈) |
|------|--------|----------|
| Q2_K | 2-bit  | 3.4 GB |
| Q3_K_M | 3-bit | 4.4 GB |
| Q4_0 / Q4_K_M | 4-bit | 5.1 GB / 5.4 GB |
| Q5_0 / Q5_K_M | 5-bit | 6.1 GB / 6.3 GB |
| Q6_K | 6-bit | 8 GB* |
| Q8_0 | 8-bit | 9.3 GB |
| F16 / F32 | 16 / 32-bit | 17.6 GB | :contentReference[oaicite:1]{index=1}  

\*value shown on the HF page is a placeholder.

---

## Quick start (llama.cpp ≥ 0.2)

```bash
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make -j
./main -m Fanar-1-9B-Instruct.Q4_K_M.gguf -p "ما هي عاصمة قطر؟"
````

## Python (llama-cpp-python)

```python
from llama_cpp import Llama
llm = Llama(
    model_path="Fanar-1-9B-Instruct.Q4_K_M.gguf",
    n_ctx=4096,
    chat_format="gemma"   # Fanar follows Gemma chat template
)
print(llm.create_chat_completion(
    messages=[{"role":"user","content":"Translate 'peace' to Arabic"}]
).choices[0].message.content)
```

---

### Credits & notes

* **Original model:** [`QCRI/Fanar-1-9B-Instruct`](https://huggingface.co/QCRI/Fanar-1-9B-Instruct) (please consult its model card for training data, evaluation results and limitations). ([Hugging Face][1])
* This repository only supplies GGUF conversions for efficient local inference on CPU/GPU; no weights were changed.
* Use responsibly—outputs may be inaccurate, biased, or culturally sensitive.

[1]: https://huggingface.co/QCRI/Fanar-1-9B-Instruct?utm_source=chatgpt.com "QCRI/Fanar-1-9B-Instruct - Hugging Face"