base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
- safetersors
- pytorch
- coding
- finetuned
datasets:
- Replete-AI/code_bagel
INTRO
we are happy to announce our frist coding model
Model Card for Model ID
this is a finetune model of llama3.1 that can perform well in coding
- **Developed by: kshabana4ai
- **Funded by no one
- **Shared by kshabana
- **Model type: safetensors and gguf
- **Language(s) English
- License: Apache2.0
- **Finetuned from model llama3.1-instruct
installation
download ollama
ollama run hf.co/kshabana/GOAT-coder-llama3.1-8b:Q4_K_M
Model Sources
https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct
- Dataset Repository:
https://huggingface.co/datasets/Replete-AI/code_bagel
Uses
This model is finetuned specifically for coding and it has a 131072 context lingth.
Bias, Risks, and Limitations
it can some times produce a wrong answers.
Recommendations
NOTE: you shold have lm studio or ollama to use this model
IN LM-STUDIO: it is recommended to use this model with the defult lm-studio configration.
IN OLLAMA: we will be pushing the model soon to ollama.
Training Details
model trained with unsloth.
Training Data
the training dataset that i used: https://huggingface.co/datasets/Replete-AI/code_bagel
IMPORTANT LINKS
OLLAMA: https://ollama.com
LM-STUDIO: https://lmstudio.ai
llama3.1: instruct: https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct
dataset: https://huggingface.co/datasets/Replete-AI/code_bagel
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
kshabana4ai
