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Model: TURKCELL/Turkcell-LLM-7b-v1 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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language:
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- tr
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---
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<img src="https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1/resolve/main/icon.jpeg"
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alt="Turkcell LLM" width="300"/>
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# Turkcell-LLM-7b-v1
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This model is an extended version of a Mistral-based Large Language Model (LLM) for Turkish. It was trained on a cleaned Turkish raw dataset containing 5 billion tokens. The training process involved using the DORA method initially. Following this, we utilized Turkish instruction sets created from various open-source and internal resources for fine-tuning with the LORA method.
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## Model Details
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- **Base Model**: Mistral 7B based LLM
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- **Tokenizer Extension**: Specifically extended for Turkish
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- **Training Dataset**: Cleaned Turkish raw data with 5 billion tokens, custom Turkish instruction sets
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- **Training Method**: Initially with DORA, followed by fine-tuning with LORA
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### DORA Configuration
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- `lora_alpha`: 128
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- `lora_dropout`: 0.05
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- `r`: 64
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- `target_modules`: "all-linear"
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### LORA Fine-Tuning Configuration
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- `lora_alpha`: 128
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- `lora_dropout`: 0.05
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- `r`: 256
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- `target_modules`: "all-linear"
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## Usage Examples
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda" # the device to load the model onto
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model = AutoModelForCausalLM.from_pretrained("TURKCELL/Turkcell-LLM-7b-v1")
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tokenizer = AutoTokenizer.from_pretrained("TURKCELL/Turkcell-LLM-7b-v1")
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messages = [
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{"role": "user", "content": "Türkiye'nin başkenti neresidir?"},
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]
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encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
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eos_token = tokenizer("<|im_end|>",add_special_tokens=False)["input_ids"][0]
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model_inputs = encodeds.to(device)
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model.to(device)
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generated_ids = model.generate(model_inputs,
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max_new_tokens=1024,
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do_sample=True,
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eos_token_id=eos_token)
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decoded = tokenizer.batch_decode(generated_ids)
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print(decoded[0])
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{
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"<|im_start|>": 48351
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}
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config.json
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config.json
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{
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"_name_or_path": "TURKCELL/Turkcell-LLM-7b-v1",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.38.1",
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"use_cache": true,
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"vocab_size": 48353
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}
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34
special_tokens_map.json
Normal file
34
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Normal file
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|
||||
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||||
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144213
tokenizer.json
Normal file
144213
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
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Normal file
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|
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63
tokenizer_config.json
Normal file
63
tokenizer_config.json
Normal file
@@ -0,0 +1,63 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": true,
|
||||
"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
|
||||
},
|
||||
"48351": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"48352": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"bos_token": "<|im_start|>",
|
||||
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<|im_end|>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user