OPT 6.7B Erebus Benchmarks
ARC: 39.16 vs 96.7 (so35)-59.5%
HellaSwag: 68.66 vs 95.3 (gpt4)-28%
MMLU: 24.58 vs 88.3 (so35)-72.2%
TruthfulQA: 35.12 vs 59 (gpt4)-40.5%
WinoGrande: 65.98 vs 87.5 (gpt4)-24.6%
GSM8K: 1.06 vs 96.4 (so35)-98.9%
LLME Score: 0.1302
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 6.7B Erebus Parameters and Internals
| LLM Name | OPT 6.7B Erebus |
| Repository 🤗 | https://huggingface.co/KoboldAI/OPT-6.7B-Erebus |
| Model Size | 6.7b |
| Required VRAM | 13.3 GB |
| Updated | 2024-09-07 |
| Maintainer | KoboldAI |
| Model Type | opt |
| Model Files | |
| Supported Languages | en |
| Model Architecture | OPTForCausalLM |
| License | other |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.21.2 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | </s> |
| End of Sentence Token | </s> |
| Unk Token | </s> |
| Vocabulary Size | 50265 |
| Torch Data Type | float16 |
| Activation Function | relu |
| Errors | replace |
Best Alternatives to OPT 6.7B Erebus
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ....7B Qcqa Ub 16 Best For Q Loss | 2K / 27.4 GB | 58 | 0 |
| ...B Qcqa Ub 16 Best For KV Cache | 2K / 27.4 GB | 61 | 0 |
| ...7B Gqa Ub 16 Best For KV Cache | 2K / 27.4 GB | 60 | 0 |
| Galactica 6.7B ReFT GSM8k | 2K / 13.8 GB | 61 | 0 |
| Galactica 6.7B EssayWriter | 2K / 13.4 GB | 700 | 3 |
| Opt Flan Iml 6.7B | 2K / 26.6 GB | 711 | 1 |
| ...lactica 6.7B Evol Instruct 70K | 2K / 27.4 GB | 673 | 19 |
| OPT 6.7B Nerybus Mix | 2K / 13.7 GB | 1082 | 20 |
| Galactica 6.7B Finetuned | 2K / 27.4 GB | 684 | 34 |
| Opt 6.7B | 2K / 13.4 GB | 106416 | 104 |
Note: green Score (e.g. "73.2") means that the model is better than KoboldAI/OPT-6.7B-Erebus .
Rank the OPT 6.7B Erebus Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803