Model Card on HF 🤗: https://huggingface.co/NewEden/nemo-erebus
Nemo Erebus 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)
Nemo Erebus Parameters and Internals
| LLM Name | Nemo Erebus |
| Repository 🤗 | https://huggingface.co/NewEden/nemo-erebus |
| Model Size | 12.2b |
| Required VRAM | 24.5 GB |
| Updated | 2025-01-05 |
| Maintainer | NewEden |
| Model Files | |
| Model Architecture | Adapter |
| Model Max Length | 1024000 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|q_proj|o_proj|v_proj|up_proj|gate_proj|down_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.1 |
| R Param | 64 |
Best Alternatives to Nemo Erebus
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Madness Erebus | 0K / 24.5 GB | 55 | 0 |
| Madness Erebus | 0K / 24.5 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than NewEden/nemo-erebus .
Rank the Nemo Erebus Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51545 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124