| --- |
| language: |
| - en |
| license: mit |
| tags: |
| - llama |
| - pran |
| - frozen-fork |
| - base-model |
| - text-generation |
| pipeline_tag: text-generation |
| --- |
| |
| # Pran |
|
|
| **Pran** is a frozen sibling copy of [`teddyoas/Agron`](https://huggingface.co/teddyoas/Agron), |
| created from Agron commit [`a311e94`](https://huggingface.co/teddyoas/Agron/commit/a311e94867629620de8d0a45136acb5d0ba91755) |
| (2026-10-22). |
|
|
| Pran is intentionally **left alone**: it is not trained, fine-tuned, or modified in |
| this iteration. Its weights are bit-for-bit the published Agron weights at that |
| commit, and it exists so a second, independent pretraining run can start from the |
| same base without touching Agron. |
|
|
| ## Model details |
|
|
| | Property | Value | |
| |---|---| |
| | Architecture | `LlamaForCausalLM` | |
| | Parameters | ~50.3M | |
| | Hidden size | 512 | |
| | Layers | 8 | |
| | Attention heads | 4 (4 KV heads) | |
| | Intermediate size | 2048 | |
| | Context length | 512 | |
| | Vocab size | 16384 | |
| | Precision | fp32 | |
| | Tokenizer | `PreTrainedTokenizerFast` (same as Agron) | |
|
|
| The config, tokenizer and `model.safetensors` are exact copies of Agron at the |
| commit above. |
|
|
| ## Status |
|
|
| - **Training: none.** Pran has no additional training steps applied. |
| - Agron, by contrast, is being continued-pretrained on programming languages and |
| cybersecurity in the same iteration. |
| - Pran is reserved for a separate, later pretraining objective. |
|
|
| ## Usage |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| tok = AutoTokenizer.from_pretrained("teddyoas/Pran") |
| model = AutoModelForCausalLM.from_pretrained("teddyoas/Pran") |
| ``` |
|
|
| Pran is a small experimental base model. It is not instruction tuned and will |
| produce raw, often incoherent continuations. |
|
|
| ## License |
|
|
| MIT, inherited from Agron. |
|
|
