OPT 6.7B Erebus Instruct Follow 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 6.7B Erebus Instruct Follow Parameters and Internals
| LLM Name | OPT 6.7B Erebus Instruct Follow |
| Repository 🤗 | https://huggingface.co/lcw99/OPT-6.7B-Erebus-instruct-follow |
| Model Size | 6.7b |
| Required VRAM | 13.8 GB |
| Updated | 2024-09-16 |
| Maintainer | lcw99 |
| Model Type | opt |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | OPTForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.0.dev0 |
| 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 Instruct Follow
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Galactica 6.7B EssayWriter | 2K / 13.4 GB | 717 | 3 |
| Opt Flan Iml 6.7B | 2K / 26.6 GB | 717 | 1 |
| ...lactica 6.7B Evol Instruct 70K | 2K / 27.4 GB | 677 | 19 |
| OPI Galactica 6.7B | 2K / 0 GB | 31 | 4 |
| Ev Glaive Math1 | 2K / 27.4 GB | 10 | 0 |
| Ev Glaive Math | 2K / 27.4 GB | 6 | 0 |
| Open Instruct Opt 6.7B Tulu | 2K / 26.6 GB | 11 | 2 |
| LongForm OPT 6.7B | 2K / 13.3 GB | 11 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than lcw99/OPT-6.7B-Erebus-instruct-follow .
Rank the OPT 6.7B Erebus Instruct Follow Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803