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tripplet-research/synthara-legacy
synthara-legacy is a text generation model from tripplet-research. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as apache-2.0.
Deprecated. This model is no longer maintained and is not recommended for any production or serious research use. It exists purely as a historical artifact for the Tripplet Research organisation. See newer Synthara re…
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From the Hugging Face model README
Deprecated. This model is no longer maintained and is not recommended for any production or serious research use. It exists purely as a historical artifact for the Tripplet Research organisation. See newer Synthara releases if any are available.
Honest disclaimer: Synthara Legacy is not a good model. It was built as an early proof-of-concept with randomly initialised weights and no fine-tuning on meaningful data. Output quality is poor — expect incoherent or repetitive text. It is published here for transparency and archival purposes only.
| Property | Value |
|---|---|
| Base architecture | GPT-2 |
| Parameters | ~51.5 M |
| Layers | 8 |
| Attention heads | 8 |
| Embedding dim | 512 |
| Context length | 1 024 tokens |
| Tokenizer | GPT-2 fast (Apache 2.0) |
DEPRECATED — do not use in production.
This checkpoint has never been trained on any dataset. Weights are random initialisations only. It will not produce useful output without significant fine-tuning.
Apache 2.0 — see LICENSE.
openai-community/gpt2 (MIT licence).This model is not derived from any unlicensed third-party checkpoint.