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Model: tripplet-research/synthara-legacy
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---
language:
- en
license: apache-2.0
tags:
- gpt2
- text-generation
- synthara
- deprecated
- gguf
- llama-cpp
pipeline_tag: text-generation
library_name: gguf
inference:
parameters:
max_new_tokens: 200
temperature: 0.9
top_p: 0.95
repetition_penalty: 1.1
widget:
- text: "Once upon a time"
example_title: "Story start"
- text: "The quick brown fox"
example_title: "Sentence completion"
providers:
- 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 **Deprecated.** This model is no longer maintained and is not recommended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.
---
**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.
---
## 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](https://www.apache.org/licenses/LICENSE-2.0).
## Credits
- Architecture based on the open GPT-2 specification (OpenAI, MIT licence).
- Tokenizer from `openai-community/gpt2` (MIT licence).
- Built with [Transformers](https://github.com/huggingface/transformers) (Apache 2.0).
- Published by [Tripplet Research](https://huggingface.co/tripplet-research).
This model is **not** derived from any unlicensed third-party checkpoint.