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Model: tripplet-research/synthara-legacy Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- gpt2
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- text-generation
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- synthara
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- deprecated
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- gguf
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- llama-cpp
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pipeline_tag: text-generation
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library_name: gguf
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inference:
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parameters:
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max_new_tokens: 200
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temperature: 0.9
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top_p: 0.95
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repetition_penalty: 1.1
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widget:
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- text: "Once upon a time"
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example_title: "Story start"
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- text: "The quick brown fox"
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example_title: "Sentence completion"
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providers:
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- hf-inference
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---
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# Synthara Legacy
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> **Deprecated.** This model is no longer maintained and is not recommended
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> for any production or serious research use. It exists purely as a historical
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> artifact for the Tripplet Research organisation. See newer Synthara releases
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> if any are available.
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---
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**Honest disclaimer:** Synthara Legacy is not a good model. It was built as an
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early proof-of-concept with randomly initialised weights and no fine-tuning on
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meaningful data. Output quality is poor — expect incoherent or repetitive text.
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It is published here for transparency and archival purposes only.
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---
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## Architecture
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| Property | Value |
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|---|---|
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| Base architecture | GPT-2 |
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| Parameters | ~51.5 M |
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| Layers | 8 |
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| Attention heads | 8 |
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| Embedding dim | 512 |
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| Context length | 1 024 tokens |
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| Tokenizer | GPT-2 fast (Apache 2.0) |
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## Status
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**DEPRECATED — do not use in production.**
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This checkpoint has never been trained on any dataset. Weights are random
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initialisations only. It will not produce useful output without significant
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fine-tuning.
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## License
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Apache 2.0 — see [LICENSE](https://www.apache.org/licenses/LICENSE-2.0).
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## Credits
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- Architecture based on the open GPT-2 specification (OpenAI, MIT licence).
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- Tokenizer from `openai-community/gpt2` (MIT licence).
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- Built with [Transformers](https://github.com/huggingface/transformers) (Apache 2.0).
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- Published by [Tripplet Research](https://huggingface.co/tripplet-research).
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This model is **not** derived from any unlicensed third-party checkpoint.
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