Category	Specification
Model Architecture	GPT‑2 (decoder‑only Transformer)
Total Parameters	346,104
Model Size (FP32)	1.32 MB (1,387,072 bytes)
Layers (`n_layer`)	2
Embedding Dimension (`n_embd`)	92
Attention Heads (`n_head`)	2
Context Length (`n_positions`)	1024
Vocabulary Size	502 (byte‑level BPE, tied embeddings)
Training Framework	Oobabooga TextGen WebUI (Transformers + PEFT)
Fine‑Tuning Method	LoRA (Target all linear layers)
LoRA Rank	8
LoRA Alpha	16
Optimizer	AdamW 8‑bit (`adamw_bnb_8bit`)
Learning Rate	2e‑4 (linear scheduler, 20 warmup steps)
Batch Size	4
Training Dataset	Capybara ShareGPT (random subset, 1.36 MB, 1,453,408 bytes)
Dataset Format	JSON array with `"text"` field (flattened ShareGPT)
Training Epochs	5
Loss Target	Stopped at ~6.0 (plateaued due to parameter limit)
Hardware	Raspberry Pi 5, 8GB RAM, ARM Cortex‑A76 (CPU only)
Training Time	~1 hour
Tokenizer	Custom byte‑level BPE (trained on dataset)
Tokenizer Special Tokens	`[BOS]`, `[EOS]`, `[PAD]`, `[UNK]`
Note	This is a proof‑of‑concept model. It fits on a 3.5‑inch floppy disk and was trained from scratch on a Raspberry Pi.

This is the LoRA adapter. Nothing else. Download the adapter-model.safetensors to use with the base model. Even with the LoRA adapter, this thing still produces nonsense. Be warned. Chats should be formatted as:

markdown

### User:
<user prompt>
### Assistant:
<assistant response>

Cite as:

[Single Floppy 346K LoRA](https://huggingface.co/NILKNARFGonzo/single-floppy-346k) by [Nilky](https://huggingface.c0/NILKNARFGonzo) is licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).