Instructions to use LetheanNetwork/lemrd-bk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LetheanNetwork/lemrd-bk with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LetheanNetwork/lemrd-bk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- en
license: eupl-1.2
tags:
- safetensors
- 4-bit
- transformers
- 8-bit
- gguf
- gemma4
base_model:
- google/gemma-4-31B-it
base_model_relation: quantized
pipeline_tag: any-to-any
datasets:
- lthn/LEM-research
Lemrd
A Gemma 4 31B finetune by lthn.ai — EUPL-1.2
Use
MLX: 4bit, 5bit, 6bit, 8bit, bf16, mxfp4, mxfp8, nvfp4
Lemer (E2B) · Lemma (E4B) · Lemmy (26B) · Lemrd (31B)
Base
More
Licence
Training data and adapter: EUPL-1.2 Base model: Apache 2.0