commit ea8b693d3b90096dfea0ec23960d17e8df5c266b
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Thu Jun 25 21:21:17 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: saifamdouni/TunCHAT-V0.2
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+license: gemma
+language:
+- ar
+base_model:
+- unsloth/gemma-2-2b-it
+library_name: transformers
+---
+**Model Card: TunChat-V0.2**
+
+**Model Overview:**
+- **Model Name:** TunChat-V0.2
+- **Model Size:** 2B parameters
+- **Instruction-Tuned:** Yes
+- **Language:** Tunisian Dialect
+- **Use Case Focus:** Conversational exchanges, translation, summarization, content generation, and cultural research.
+
+**Model Description:**
+TunChat-V0.2 is a 2-billion parameter language model specifically instruction-tuned for the Tunisian dialect. It is designed to handle tasks such as conversational exchanges, informal text summarization, and culturally-aware content generation. The model is optimized to understand and generate text in Tunisian Dialect, enabling enhanced performance for applications targeting Tunisian users.
+
+**Intended Use:**
+- Conversational agents and chatbots operating in Tunisian Dialect.
+- Translation, summarization, and content generation in informal Tunisian dialect.
+- Supporting cultural research related to Tunisian language and heritage.
+
+**How to Use:**
+```python
+import torch
+from transformers import pipeline
+
+pipe = pipeline(
+    "text-generation",
+    model="saifamdouni/TunChat-V0.2",
+    model_kwargs={"torch_dtype": torch.bfloat16},
+    device="cuda" # replace with "mps" to run on a Mac device
+)
+
+messages = [
+    {"role": "user", "content": 'شكون صنعك'},
+]
+
+outputs = pipe(messages,
+              max_new_tokens=2048,
+              do_sample=True,
+              top_p=0.95,
+              temperature=0.7,
+              top_k=50)
+assistant_response = outputs[0]["generated_text"][-1]["content"].strip()
+print(assistant_response)
+```
+
+>صنعوني جماعة من المهندسين والمطورين التوانسة. يحبوا يطوّروا الذكاء الاصطناعي في تونس و يسهلوا استخدامه باللهجة متاعنا.
+
+
+**Quantized Versions:**
+- GGUF quantized versions will be released later.
+
+**Training Dataset:**
+- Tun-SFT dataset (to be released later):
+  - A mix between organically collected and synthetically generated data
+
+**Limitations and Ethical Considerations:**
+- The model may occasionally produce incorrect or biased responses.
+- The model may occasionally produce culturally inappropriate responses.
+- It may not perform optimally on formal Tunisian Arabic texts.
+
+**Future Plans:**
+- Release of GGUF quantized versions.
+- Open-source availability of the Tun-SFT dataset.
+
+**Author:** Saif Eddine Amdouni
\ No newline at end of file
diff --git a/config.json b/config.json
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+{
+  "_name_or_path": "unsloth/gemma-2-2b-it",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": [
+    1,
+    107
+  ],
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 2304,
+  "initializer_range": 0.02,
+  "intermediate_size": 9216,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 26,
+  "num_key_value_heads": 4,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.1",
+  "unsloth_version": "2024.12.4",
+  "use_cache": true,
+  "vocab_size": 256000
+}
diff --git a/generation_config.json b/generation_config.json
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+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": [
+    1,
+    107
+  ],
+  "max_length": 8192,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.1"
+}
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+    "255995": {
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+    "255996": {
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+    "255997": {
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+    },
+    "255998": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
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+    },
+    "255999": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<bos>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "model_max_length": 8192,
+  "pad_token": "<pad>",
+  "padding_side": "left",
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>"
+}