Downloads · 30 days
5
26% of all-time downloads
Defetya_-_gemma-2b-ru-awq
RichardErkhov/Defetya_-_gemma-2b-ru-awq
Defetya_-_gemma-2b-ru-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
19
Public
Parameters
2.5B
2.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.1 GB · 98%
Parameter types
How the weights are stored.
I322B · 79%
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
gemma-2b-ru - AWQ
- Model creator: https://huggingface.co/Defetya/
- Original model: https://huggingface.co/Defetya/gemma-2b-ru/
Original model description:
license: apache-2.0 datasets:
- oscar-corpus/OSCAR-2301
This model is a result of second stage pre-training of Google's Gemma 2B (https://huggingface.co/google/gemma-2b) for roughly 150B tokens on the combination of English + Russian subset of oscar and wiki datasets.
This is a raw pre-trained model, created with further fine-tuning in mind. Goal of this project is to further research cross-linguistic capabilities of open-source LLMs and to create a strong open-source foundational LLM that would be fluent in Russian language. More about it will be in the upcoming blog and/or research paper.
This model was pre-trained using EasyLM's fork as a framework (JAX) on Google's v4-32 TPU which was generously provided under the TRC program. The model reached ~ 1.5 in training loss, LR was roughly 5e-5.
I'm planning on releasing a chat model that would ungergo full-parameter SFT and DPO on Ilya Gusev's datasets.
- Type
- gemma
- Created
- Jan 8, 2025
- Updated
- Jan 8, 2025