commit 307a7afb5227aff58b2ac313361e4c6e26598246
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Sun Jul 5 08:06:16 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: hammh0a/Hala-9B
    Source: Original Platform

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diff --git a/README.md b/README.md
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--- /dev/null
+++ b/README.md
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+---
+license: cc-by-nc-4.0
+datasets:
+- hammh0a/Hala-4.6M-SFT
+language:
+- ar
+base_model:
+- QCRI/Fanar-1-9B-Instruct
+pipeline_tag: text-generation
+---
+
+# Hala: Arabic‑Centric Instruction & Translation Models
+
+<p align="center">
+  <img src="https://i.ibb.co/pvhp1XfJ/halalogo.png" alt="Hala logo" width="550" />
+</p>
+
+**Paper**: *Hala Technical Report: Building Arabic‑Centric Instruction & Translation Models at Scale*
+
+**Authors**: Hasan Abed Al Kader Hammoud\*, Mohammad Zbeeb\*, Bernard Ghanem
+
+**Affiliation**: King Abdullah University of Science and Technology (KAUST)
+
+\*Equal contribution
+
+> In Arabic, **حلا** (Hala) conveys sweetness and beauty—qualities long associated with the language itself. In this spirit, we call our models **Hala**.
+
+---
+
+## 🔗 Quick Links
+
+* **Models & Data (Hugging Face collection)**: [https://huggingface.co/collections/hammh0a/hala-68bf02b34a14b9f22305ab3a](https://huggingface.co/collections/hammh0a/hala-68bf02b34a14b9f22305ab3a)
+* **Contact**: [hasanabedalkader.hammoud@kaust.edu.sa](mailto:hasanabedalkader.hammoud@kaust.edu.sa)
+
+---
+
+## Example
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+model_id = "hammh0a/Hala-9B"  # pick a released Hala model
+
+tok = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, torch_dtype="auto", device_map="auto"
+)
+
+# Use chat template
+messages = [
+    {"role": "system", "content": "أنت مساعد خبير في الفيزياء."},
+    {"role": "user", "content": "اشرح بإيجاز مبدأ الانحفاظ في الفيزياء، وأعطني مثالاً يومياً."},
+]
+
+prompt = tok.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tok)
+out = pipe(prompt, max_new_tokens=256, do_sample=False)
+
+print(out[0]["generated_text"])
+```
+
+---
+
+## 📊 Results
+
+*Hala models are placed at the end of each size category; best **Average** per category is in bold.*
+
+### ≤2B parameters
+
+| Size | Model Name                             | Params | AlGhafa | ArabicMMLU | EXAMS | MadinahQA | AraTrust | ArbMMLU‑HT |  Average |
+| ---- | -------------------------------------- | -----: | ------: | ---------: | ----: | --------: | -------: | ---------: | -------: |
+| ≤2B  | meta-llama/Llama-3.2-1B                |     1B |    33.9 |       26.5 |  21.2 |      25.7 |     37.1 |       23.9 |     28.0 |
+| ≤2B  | Qwen/Qwen2-1.5B-Instruct               |   1.5B |    53.1 |       49.2 |  35.2 |      45.5 |     68.9 |       37.4 |     48.2 |
+| ≤2B  | Qwen/Qwen2.5-1.5B-Instruct             |   1.5B |    48.4 |       43.5 |  31.8 |      38.2 |     70.8 |       35.9 |     44.8 |
+| ≤2B  | Sakalti/Saka-1.5B                      |   1.5B |    51.4 |       40.0 |  31.3 |      31.5 |     47.5 |       33.5 |     39.2 |
+| ≤2B  | Qwen/Qwen3-1.7B-Base                   |   1.7B |    56.8 |       49.7 |  38.2 |      40.0 |     75.6 |       43.9 |     50.7 |
+| ≤2B  | Qwen/Qwen1.5-1.8B                      |   1.8B |    32.7 |       26.7 |  23.8 |      26.0 |     31.5 |       23.6 |     27.4 |
+| ≤2B  | silma-ai/SILMA-Kashif-2B-Instruct-v1.0 |     2B |    59.7 |       45.6 |  33.1 |      38.8 |     73.3 |       35.8 |     47.7 |
+| ≤2B  | google/gemma-2-2b-it                   |     2B |    34.1 |       30.1 |  23.6 |      20.1 |     31.2 |       23.4 |     27.1 |
+| ≤2B  | LiquidAI/LFM2-350M                     |   350M |    39.0 |       35.2 |  30.9 |      28.3 |     43.3 |       29.1 |     34.3 |
+| ≤2B  | **Hala‑350M**                          |   350M |    51.4 |       41.2 |  36.9 |      34.5 |     52.1 |       35.4 |     41.9 |
+| ≤2B  | LiquidAI/LFM2-700M                     |   700M |    50.1 |       38.3 |  34.3 |      32.5 |     56.3 |       37.2 |     41.4 |
+| ≤2B  | **Hala‑700M**                          |   700M |    55.5 |       45.9 |  40.6 |      34.7 |     65.2 |       39.4 |     46.9 |
+| ≤2B  | LiquidAI/LFM2-1.2B                     |   1.2B |    53.8 |       45.2 |  35.0 |      34.7 |     65.6 |       43.4 |     46.3 |
+| ≤2B  | **Hala‑1.2B**                          |   1.2B |    59.2 |       48.6 |  43.4 |      41.6 |     71.7 |       44.2 | **51.4** |
+
+### 7B–9B parameters
+
+| Size  | Model Name                                  | Params | AlGhafa | ArabicMMLU | EXAMS | MadinahQA | AraTrust | ArbMMLU‑HT |  Average |
+| ----- | ------------------------------------------- | -----: | ------: | ---------: | ----: | --------: | -------: | ---------: | -------: |
+| 7B–9B | CohereForAI/c4ai-command-r7b-arabic-02-2025 |     7B |    74.8 |       59.3 |  65.0 |      63.8 |     80.5 |       50.1 |     65.6 |
+| 7B–9B | JasperV13/Yehia-7B-DPO-Reasoning-preview    |     7B |    75.1 |       66.3 |  51.8 |      54.9 |     81.9 |       55.1 |     64.2 |
+| 7B–9B | Navid-AI/Yehia-7B-preview                   |     7B |    70.8 |       64.9 |  52.1 |      54.4 |     87.5 |       53.4 |     63.9 |
+| 7B–9B | JasperV13/Yehia-7B-Reasoning-preview        |     7B |    75.2 |       66.3 |  52.7 |      55.0 |     80.8 |       55.2 |     64.2 |
+| 7B–9B | ALLaM-AI/ALLaM-7B-Instruct-preview          |     7B |    69.5 |       64.9 |  51.6 |      54.2 |     86.9 |       52.8 |     63.3 |
+| 7B–9B | Qwen/Qwen2-7B-Instruct                      |     7B |    73.2 |       60.0 |  47.3 |      59.5 |     82.8 |       51.3 |     62.4 |
+| 7B–9B | Qwen/Qwen3-8B-Base                          |     8B |    74.8 |       65.0 |  52.5 |      52.2 |     83.4 |       61.5 |     64.9 |
+| 7B–9B | QCRI/Fanar-1-9B-Instruct                    |     9B |    76.4 |       65.8 |  52.7 |      73.3 |     88.3 |       58.6 |     69.2 |
+| 7B–9B | **Hala‑9B**                                 |     9B |    78.3 |       65.6 |  53.8 |      70.4 |     89.6 |       61.4 | **69.9** |
+
+> **Evaluation protocol**: `lighteval` on **ArabicMMLU (OALL‑2)** excluding AlRage.
+
+---
+
+## 📚 Citation
+
+If you find **Hala** useful, please cite:
+
+```bibtex
+@misc{hammoud2025halatechnicalreportbuilding,
+      title={Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale}, 
+      author={Hasan Abed Al Kader Hammoud and Mohammad Zbeeb and Bernard Ghanem},
+      year={2025},
+      url={https://arxiv.org/abs/2509.14008}, 
+}
+```
\ No newline at end of file
diff --git a/chat_template.jinja b/chat_template.jinja
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--- /dev/null
+++ b/chat_template.jinja
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+{{ '<bos>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = None %}{% endif %}{% if system_message %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<start_of_turn>user
+' + content + '<end_of_turn>
+<start_of_turn>model
+' }}{% elif message['role'] == 'thinking_user' %}{{ '<start_of_turn>user
+' + content + '<end_of_turn>
+<start_of_turn>model
+<think>
+'}}{% elif message['role'] == 'assistant' %}{{ content + '<end_of_turn>
+' }}{% elif message['role'] == 'thinking' %}{{ '<think>
+' + content + '
+</think>
+' }}{% endif %}{% endfor %}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..1980cac
--- /dev/null
+++ b/config.json
@@ -0,0 +1,77 @@
+{
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "dtype": "bfloat16",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "layer_types": [
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 4096,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "transformers_version": "4.56.0",
+  "use_cache": false,
+  "vocab_size": 128256
+}
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000..2229452
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.56.0"
+}
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