techdotus/Ethoric-10M
text-generation model by techdotus
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Model card & documentation
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Ethoric-10M is a decoder-only small language model with 9.97M parameters. It is built on a modern transformer foundation of RoPE, grouped-query attention and SwiGLU, and adds four changes on top. Peri-LN normalization applies RMSNorm both before and after every sublayer to keep training stable. Canon layers are short causal depthwise convolutions that mix each token with its 3 previous tokens before attention and before the MLP. Per-head QK-norm normalizes the queries and keys in each attention head, and a headwise sigmoid gate lets each head control how much of its output passes through. The model was trained on 15B tokens, followed by a 4B-token cooldown. The model's custom generate() supports greedy decoding and top-k sampling (dosample=True, temperature, topk). Other options such as repetitionpenalty are ignored. Prompt plus generated tokens must stay within 512 tokens. All scores are 0-shot accnorm, using the Open SLM Leaderboard methodology. All…
Read the full model card ↗ · Preview checked 2026-10-31T03:35:12.942Z
Inside the original model card — Document outline
- Ethoric-10M
- Model Summary
- Model Architecture
- How to use
- Benchmark Results
- Comparison Results
- Training Details
- Training Data
- Limitations
- License
- Citation
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
techdotus/Ethoric-10M is a text-generation model repository published by techdotus on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 9,965,664
- Architecture
- EthoricForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-26T06:35:19.000Z
- Last modified
- 2026-10-26T06:46:17.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.
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