Upload tunisian-7b-chat model

README.md

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 ---
+base_model: inceptionai/jais-adapted-7b-chat
+language:
+- aeb
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+datasets:
+- linagora/Tunisian_Derja_Dataset
 library_name: transformers
-tags: []
 ---
-
-# Model Card for Model ID
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-## Model Details
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+## Model Overview
+
+Labess-7b-chat is an open model instruction-tuned for Tunisian Derja, it's a continual pre-training version of jais-adapted-7b-chat with tunisian_Derja_Dataset
+# Uploaded  model
+
+- **Developed by:** Linagora
+- **License:** apache-2.0
+- **Finetuned from model :** inceptionai/jais-adapted-7b-chat  
+## Usage
+Below we share some code snippets on how to get quickly started with running the model. First, install the Transformers library with:
+
+```sh
+pip install transformers
+```
+# Usage
+```python
+import torch
+from transformers import pipeline
+
+pipe = pipeline(
+    "text-generation",
+    model="linagora/Labess-7b-chat-16bit",
+    model_kwargs={"torch_dtype": torch.bfloat16},    
+    device="cuda" # replace with "mps" to run on a Mac device
+)
+
+messages = [
+    {"role": "user", "content": 'وين تجي تونس؟'},
+]
+
+outputs = pipe(messages, max_new_tokens=64, do_sample=True, temperature=0.2)
+assistant_response = outputs[0]["generated_text"][-1]["content"].strip()
+print(assistant_response)
+```
+```
+- Response:تونس هي بلاد في شمال إفريقيا هي بلاد جميلة برشة ومعروفة في العالم الكل هي بلاد فيها مناظر طبيعية
+```
+## Citations
+When using this model **Labess-7b-chat**, please cite:
+
+```bibtex
+@model{linagora2025LLM-tn,
+  author = {Wajdi Ghezaiel and Jean-Pierre Lorré},
+  title = {Labess-7b-chat:Tunisian Derja LLM},
+  year = {2025},
+  month = {January},  
+  url = {https://huggingface.co/datasets/linagora/Labess-7b-chat}
+}
+
+```
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

config.json

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+{
+  "_name_or_path": "inceptionai/jais-adapted-7b-chat",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.3",
+  "unsloth_version": "2024.12.12",
+  "use_cache": true,
+  "vocab_size": 64000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.3"
+}

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<unk>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b5be997e01a75127ffdc0f1b8186ec7c7f35748fa170844058ad91ace4cf08c5
+size 1178104

tokenizer_config.json

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 {
+  "add_bos_token": true,
+  "add_eos_token": false,
   "add_prefix_space": true,
-  "backend": "tokenizers",
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
   "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:]  %}{% set system_message = '### Instruction: ' + messages[0]['content'] + '\nComplete the conversation below between [|Human|] and [|AI|]:\n### Input:'%}{% else %}{% set loop_messages = messages %}{% set system_message = '### Instruction: Your name is \\'Jais\\', and you are named after Jebel Jais, the highest mountain in UAE. You were made by \\'Inception\\' in the UAE. You are a helpful, respectful, and honest assistant. Always answer as helpfully as possible, while being safe. Complete the conversation below between [|Human|] and [|AI|]:\n### Input:' %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = system_message  %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{% if loop.index0 == 0 %}{{ content + ' [|Human|] ' + message['content'] }}{% else %}{{ '\n[|Human|] ' + content.strip() }}{% endif %}{% elif message['role'] == 'assistant' %}{{ '\n[|AI|] '  + content.strip() }}{% endif %}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %} {{'\n[|AI|]\n### Response:'}}{% endif %}",
   "clean_up_tokenization_spaces": false,
   "eos_token": "</s>",
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   "model_max_length": 4096,
   "pad_token": "<unk>",
   "padding_side": "left",
   "sp_model_kwargs": {},
   "spaces_between_special_tokens": false,
-  "tokenizer_class": "TokenizersBackend",
+  "tokenizer_class": "LlamaTokenizer",
   "unk_token": "<unk>",
   "use_default_system_prompt": false
 }