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Model: yasserrmd/Fanar-1-9B-Instruct-gguf
Source: Original Platform

README.md

@@ -0,0 +1,61 @@
+---
+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"