Downloads · 30 days
26
1% of all-time downloads
Lernex/Metis-1.4-base
Metis-1.4-base is a text generation model from Lernex. Use it when you need the model to write or continue text. It is set up for pytorch.
Downloads · 30 days
26
1% of all-time downloads
All-time downloads
3.8K
Public
Parameters
504M
3 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors1 GB · 100%
From the Hugging Face model README
The model that never quit.
Metis-1.4 Base is a compact ~504M-parameter research language model from Lernex, built as a step toward the Metis line of efficient learning, reasoning, and tutoring models.
This upload replaces the earlier experimental Metis-1.4 base artifact with the corrected current base export. The earlier run used an incorrect objective during training; this revision comes from the repaired pipeline using standard next-token prediction, the optimized H100 dense pretraining path, and sequence-level static MoR continued pretraining.
This is the base checkpoint. It is not the final chat or thinking model.
Use it as:
The post-trained Chat SFT, Reasoning SFT, reward, Chat DPO, and Think DPO stages are still part of the full Metis-1.4 pipeline.
Metis-1.4 Base uses a custom Metis MoR decoder stack:
| Field | Value |
|---|---|
| Parameters | ~503.8M |
| Context length | 1024 tokens |
| Layers | 19 shared transformer layers |
| Hidden size | 1536 |
| Attention heads | 24 |
| KV heads | 8 |
| Head dim | 64 |
| Vocab size | 16,384 |
| Activation | SwiGLU |
| Weight dtype | BF16 export |
| MoR max depth | 3 |
| Effective max layer count | 57 |
The current base was trained with:
safetensorsThe final CPT checkpoint ended with validation loss around 2.4341 and perplexity around 11.41 on the continued-pretraining validation split. This number is not directly comparable to instruction or benchmark performance; it is primarily a training-health metric for the base/CPT mixture.
model.safetensors - exported base weightsconfig.json - Metis architecture/config metadatageneration_config.json - basic generation defaultstokenizer.json - tokenizertokenizer_config.json - tokenizer metadataspecial_tokens_map.json - tokenizer special token idsMetis-1.4 uses a custom architecture: metis_mor_transformer / MetisMoRLMHeadModel.
This repository contains the weights and config, but loading requires the Metis runtime/model code from Lernex's training stack or an adapter that implements the same architecture. It is not intended to be a drop-in vanilla Transformers architecture checkpoint yet.
This is a research release from an active training run. The base is being shared early so others can inspect and experiment with the corrected model artifact while the post-training pipeline continues.
Metis-1.4 Base is intended for research, evaluation, and downstream training. It is not instruction tuned and should not be treated as an aligned assistant. For interactive use, prefer the post-trained Metis-1.4 chat/think checkpoints once released.
Lernex is building learning systems that adapt around the learner: tutoring, practice, explanations, memory, and model research shaped around education. Metis-1.4 is a pivotal step in the Metis research line toward a compact, efficient model stack that can be trained, inspected, deployed, and improved end to end.