synthara-legacy/README.md

language, license, tags, pipeline_tag, library_name, inference, widget, providers

language	license	tags	pipeline_tag	library_name	inference	widget	providers
en	apache-2.0	gpt2 text-generation synthara deprecated gguf llama-cpp	text-generation	gguf	parameters max_new_tokens temperature top_p repetition_penalty 200 0.9 0.95 1.1	text example_title Once upon a time Story start text example_title The quick brown fox Sentence completion	hf-inference

Synthara Legacy

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 This model is no longer maintained and is not recommended for any production or serious research use.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.

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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.

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Architecture

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)

Status

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.

License

Apache 2.0 — see LICENSE.

Credits

• Architecture based on the open GPT-2 specification (OpenAI, MIT licence).
• Tokenizer from openai-community/gpt2 (MIT licence).
• Built with Transformers (Apache 2.0).
• Published by Tripplet Research.

This model is not derived from any unlicensed third-party checkpoint.