Model Card on HF 🤗: https://huggingface.co/DunnBC22/opt-2.7b-Fine_Tuned-Essays_with_Instructions
Opt 2.7B Fine Tuned Essays With Instructions 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)
Opt 2.7B Fine Tuned Essays With Instructions Parameters and Internals
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| LLM Name | Opt 2.7B Fine Tuned Essays With Instructions |
| Repository 🤗 | https://huggingface.co/DunnBC22/opt-2.7b-Fine_Tuned-Essays_with_Instructions |
| Model Size | 2.7b |
| Required VRAM | 0 GB |
| Updated | 2025-09-18 |
| Maintainer | DunnBC22 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Opt 2.7B Fine Tuned Essays With Instructions
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Grade School Math Instructions | 0K / 0 GB | 4 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than DunnBC22/opt-2.7b-Fine_Tuned-Essays_with_Instructions .
Rank the Opt 2.7B Fine Tuned Essays With Instructions Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124