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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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- trl
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- sft
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base_model: Trendyol/Trendyol-LLM-7b-chat-v1.0
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---
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# Uploaded model
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This mistral 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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- trl
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- sft
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base_model: Trendyol/Trendyol-LLM-7b-chat-v1.0
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datasets:
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- umarigan/openhermes_tr
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library_name: adapter-transformers
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---
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# Uploaded model
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This mistral 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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This model is fine-tuned version of Trendyol chat v1.0 on openhermes dataset. The dataset translated from English to Turkish lanuage and trained by unsloth's mistral scripts.
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Usage:
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```
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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#pipe = pipeline("text-generation", model="umarigan/Trendyol-LLM-7b-chat-v0.1-DPO")
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pipe = pipeline("text-generation",
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model="umarigan/Hermes-7B-TR",
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#use_flash_attention_2=True
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)
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# Generate text
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q = "Weng bebek bakıcılığından saatte 12 dolar kazanıyor. Dün sadece 50 dakika bebek bakıcılığı yaptı. Ne kadar kazandı?"
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sequences_rlhf = pipe(
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q,
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do_sample=True,
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temperature=0.7,
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top_p=0.9,
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num_return_sequences=1,
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max_length=2048,
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)
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sequences_rlhf[0]['generated_text']
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```
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