Geneva 12B GammaCorpus v2-1m
A Mistral NeMo model fine-tuned on the GammaCorpus dataset
Overview
Geneva 12B GammaCorpus v2-1m is a fine-tune of Mistral's Mistral Nemo Instruct 2407 model. Geneva is designed to outperform other models that have a similar size while also showcasing GammaCorpus v2-1m.
Model Details
- Base Model: mistralai/Mistral-Nemo-Instruct-2407
- Parameters: 12B
- Layers: 40
- Dim: 5,120
- Head dim: 128
- Hidden dim: 14,336
- Activation Function: SwiGLU
- Number of heads: 32
- Number of kv-heads: 8 (GQA)
- Vocabulary size: 2**17 ~= 128k
- Rotary embeddings (theta = 1M)
Training Details
Geneva-12B-GCv2-1m underwent fine-tuning with 1 A100 GPU for ~40 minutes and trained with the Unsloth framework. Geneva-12B-GCv2-1m was trained for 60 Epochs.
Usage
Requirements
Please use the following Transformers version here:
pip install git+https://github.com/huggingface/transformers.git
Quickstart
If you want to use Hugging Face transformers to generate text, you can do something like this:
from transformers import pipeline
prompt = "How tall is the Eiffel tower?"
messages = [
{"role": "system", "content": "You are a helpful assistant named Geneva, built on the Mistral NeMo model developed by Mistral AI, and fine-tuned by Ruben Roy."},
{"role": "user", "content": prompt},
]
infer = pipeline("text-generation", model="rubenroy/Geneva-12B-GCv2-1m", max_new_tokens=128)
infer(messages)
About GammaCorpus
This model, and all Geneva models, are trained with GammaCorpus. GammaCorpus is a dataset on HuggingFace that is filled with structured and filtered multi-turn conversations. GammaCorpus has 4 version with different sizes in each. These are the following versions and sizes:
GammaCorpus v1
- 10k UNFILTERED
- 50k UNFILTERED
- 70k UNFILTERED
Here is a link to the GCv1 dataset collection: https://huggingface.co/collections/rubenroy/gammacorpus-v1-67935e4e52a04215f15a7a60
GammaCorpus v2
- 10k
- 50k
- 100k
- 500k
- 1m <-- This is the version of GammaCorpus v2 that the Geneva model you are using was trained on.
- 5m
Here is a link to the GCv2 dataset collection: https://huggingface.co/collections/rubenroy/gammacorpus-v2-67935e895e1259c404a579df
GammaCorpus CoT
- Math 170k
Here is a link to the GC-CoT dataset collection: https://huggingface.co/collections/rubenroy/gammacorpus-cot-6795bbc950b62b1ced41d14f
GammaCorpus QA
- Fact 450k
Here is a link to the GC-QA dataset collection: https://huggingface.co/collections/rubenroy/gammacorpus-qa-679857017bb3855234c1d8c7
The link to the full GammaCorpus dataset collection can be found here.
Known Limitations:
- Bias: We have tried our best to mitigate as much bias we can, but please be aware of the possibility that the model might generate some biased answers.
Licence:
The model is released under the Apache 2.0 License. Please refer to the license for usage rights and restrictions.