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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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---
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language:
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- en
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- tr
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license: apache-2.0
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tags:
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- text-generation-inference
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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## Usage Examples
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```python
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("KOCDIGITAL/Kocdigital-LLM-8b-v0.1")
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model = AutoModelForCausalLM.from_pretrained("KOCDIGITAL/Kocdigital-LLM-8b-v0.1")#umarigan/llama-3-openhermes-tr
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alpaca_prompt = """
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Görev:
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{}
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Girdi:
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{}
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Cevap:
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{}"""
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inputs = tokenizer(
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[
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alpaca_prompt.format(
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"fibonnaci dizisinin devamını getir.", # instruction
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"1, 1, 2, 3, 5, 8", # input
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"", # output - leave this blank for generation!
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)
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], return_tensors = "pt")
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outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
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tokenizer.batch_decode(outputs)
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```
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