Trained Galactica is an open-source language model by mariatager. Features: 125m LLM, LLM Explorer Score: 0.15.
| Training Details |
|
| LLM Name | Trained Galactica |
| Repository ๐ค | https://huggingface.co/mariatager/trained_galactica |
| Base Model(s) | |
| Model Size | 125m |
| Required VRAM | 0 GB |
| Updated | 2025-09-23 |
| Maintainer | mariatager |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | [PAD] |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|v_proj|down_proj|q_proj|o_proj|gate_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Results Modified | 0K / 0 GB | 5 | 0 |
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