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README.md
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- llama
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- trl
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- sft
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---
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# Uploaded model
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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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- llama
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- trl
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- sft
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- safetersors
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- pytorch
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- coding
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datasets:
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- Replete-AI/code_bagel
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# INTRO
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we are happy to announce our frist coding model
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# Model Card for Model ID
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this is a finetune model of llama3.1 that can perform well in coding
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- **Developed by: kshabana
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- **Funded by no one
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- **Shared by kshabana
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- **Model type: safetensors and gguf
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- **Language(s) English and coding
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- **License:** Apache2.0
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- **Finetuned from model [llama3.1-instruct]
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### Model Sources
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https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct
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- **Dataset Repository:**
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https://huggingface.co/datasets/Replete-AI/code_bagel
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## Uses
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this model can be used for combanys that need multilagul support and it has a 131072 context lingth.
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## Bias, Risks, and Limitations
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it can some times produce a wrong answer.
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### Recommendations
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NOTE:you shold have lm studio or ollama to use this model
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IN LM-STUDIO:it is recommended to use this model with the defult lm-studio configration.
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IN OLLAMA: we will be pushing the model soon to ollama.
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## Training Details
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model trained with unsloth.
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### Training Data
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the training dataset that i used: https://huggingface.co/datasets/arbml/alpaca_arabic
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## IMPORTANT LINKS
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OLLAMA: https://ollama.com
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LM-STUDIO: https://lmstudio.ai
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llama3.1: instruct: https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct
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dataset: https://huggingface.co/datasets/arbml/alpaca_arabic
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### Results
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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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