Boris-125M

Boris-125M is a Large Language Model created by New Millennium Artificial Intelligence, trained on 2.5B tokens and contains 125 million parameters.

Trained for 33:38:48 on one RTX 3060.

Final Stats:

Loss - 3.2998

Grad Norm - 0.281

Learning Rate - 6.00e-05

Details


Architecture	GPT-2 (pre-LN, learned positional embeddings, tied embeddings)
Layers / heads / d_model	12 / 12 / 768
Context length	1024
Vocab	50304 (GPT-NeoX-20B BPE, padded)
Tokenizer	`EleutherAI/gpt-neox-20b`
Precision	trained in bf16 autocast with fp32 master weights

Base model; not instruction-tuned or aligned. Outputs may be inaccurate or offensive.

Copyright & License:

This project and all associated files (the "Work") are licensed under the Apache License, Version 2.0 (the "License"); you may not use this project except in compliance with the License. You may obtain a copy of the License at:

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.