Model Card on HF 🤗: https://huggingface.co/mariatager/galactica_finetuned
Galactica Finetuned Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Galactica Finetuned Parameters and Internals
| LLM Name | Galactica Finetuned |
| Repository 🤗 | https://huggingface.co/mariatager/galactica_finetuned |
| Model Size | 125.2m |
| Required VRAM | 0.5 GB |
| Updated | 2025-02-22 |
| Maintainer | mariatager |
| Model Type | opt |
| Model Files | |
| Model Architecture | OPTForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | [PAD] |
| Vocabulary Size | 50272 |
| PEFT Type | LORA |
| LoRA Model | Yes |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| Torch Data Type | float32 |
| Activation Function | relu |
Best Alternatives to Galactica Finetuned
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| FinOPT Washington | 2K / 0.5 GB | 2125 | 3 |
Rank the Galactica Finetuned Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227