lemma-bk / README.md
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fix: add library_name: mlx for app compatibility
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---
language:
- en
license: eupl-1.2
library_name: mlx
tags:
- mlx
- safetensors
- 4-bit
- transformers
- 8-bit
- gguf
- gemma4
base_model:
- google/gemma-4-e4b-it
base_model_relation: quantized
pipeline_tag: any-to-any
datasets:
- lthn/LEM-research
---
# Lemma
A [Gemma 4 E4B](https://huggingface.co/google/gemma-4-e4b-it) finetune by [lthn.ai](https://lthn.ai) — EUPL-1.2
## Use
**MLX**: [4bit](https://huggingface.co/lthn/lemma/tree/4bit), [5bit](https://huggingface.co/lthn/lemma/tree/5bit), [6bit](https://huggingface.co/lthn/lemma/tree/6bit), [8bit](https://huggingface.co/lthn/lemma/tree/8bit), [bf16](https://huggingface.co/lthn/lemma/tree/bf16), [mxfp4](https://huggingface.co/lthn/lemma/tree/mxfp4), [mxfp8](https://huggingface.co/lthn/lemma/tree/mxfp8), [nvfp4](https://huggingface.co/lthn/lemma/tree/nvfp4)
[Lemer (E2B)](https://huggingface.co/lthn/lemer) · [Lemma (E4B)](https://huggingface.co/lthn/lemma) · [Lemmy (26B)](https://huggingface.co/lthn/lemmy) · [Lemrd (31B)](https://huggingface.co/lthn/lemrd)
## Base
[google/gemma-4-e4b-it](https://huggingface.co/google/gemma-4-e4b-it)
## More
- [lthn.ai](https://lthn.ai)
- [Lethean Network](https://github.com/LetheanNetwork)
## Licence
Training data and adapter: [EUPL-1.2](https://joinup.ec.europa.eu/collection/eupl/eupl-text-eupl-12)
Base model: [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)