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lemer-hf-bf16
lthn/lemer-hf-bf16
lemer-hf-bf16 is a text generation model from lthn. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as eupl-1.2.
LEK-aligned Gemma 4 E2B, bf16 reference weights, in HuggingFace safetensors layout.
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323
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Parameters
5.1B
10.3 GB on disk
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Repo makeup
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.safetensors10.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- eupl-1.2
- Model type
- gemma4
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- da68f65d
Try a prompt
Base models
Model card
From the Hugging Face model README
Lemer-HF-bf16 — HuggingFace safetensors format
LEK-aligned Gemma 4 E2B, bf16 reference weights, in HuggingFace safetensors layout.
Converted from lthn/lemer-mlx-bf16 for use on non-MLX platforms (NVIDIA/AMD GPU, Kaggle TPU, vanilla transformers).
| Source | This repo |
|---|---|
lthn/lemer-mlx-bf16 (MLX format) | lthn/lemer-hf-bf16 (HF safetensors) |
language_model.model.* keys | model.language_model.* keys |
| MLX conv layout (C,K,I) / (O,H,W,I) | PyTorch layout (C,I,K) / (O,I,H,W) |
Weights are byte-equivalent to lemer-mlx-bf16 after the key rename + conv permutation — identical LEK alignment, identical behaviour.
Loading
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("lthn/lemer-hf-bf16")
model = AutoModelForCausalLM.from_pretrained(
"lthn/lemer-hf-bf16",
dtype="bfloat16",
device_map="auto",
)
License
EUPL-1.2.
- Task
- Text Generation
- Library
- transformers
- Type
- gemma4
- License
- eupl-1.2
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026