Autotrain compatible Custom code Dataset:eleutherai/pile En Endpoints compatible Gptj Pytorch Region:us
GPT J 6B 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)
GPT J 6B Parameters and Internals
| LLM Name | GPT J 6B |
| Repository 🤗 | https://huggingface.co/d-matrix/gpt-j-6b |
| Model Size | 6b |
| Required VRAM | 24.2 GB |
| Updated | 2024-09-07 |
| Maintainer | d-matrix |
| Model Type | gptj |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPTJForCausalLM |
| License | apache-2.0 |
| Model Max Length | 2048 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50400 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to GPT J 6B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Deception Normal | 0K / 12.2 GB | 5 | 0 |
| Deception Filteredpositive | 0K / 12.2 GB | 5 | 0 |
| Gptj Allenai Toxicity Blackbox | 0K / 12.2 GB | 9 | 0 |
| ...j Allenai Toxicity Explainable | 0K / 12.2 GB | 15 | 0 |
| Test GPT J 6B | 0K / 2.5 GB | 30 | 0 |
| Explainable GPT J 6B | 0K / 24.2 GB | 7 | 0 |
| Jeneri SAMA 6B | 0K / 12.2 GB | 9 | 1 |
| Pygmalion 6B Roleplay | 0K / 12.1 GB | 683 | 2 |
| Pygmalion 6B | 0K / 16.3 GB | 1817 | 725 |
| GPT JT 6B V1 | 0K / 12.2 GB | 9795 | 301 |
Note: green Score (e.g. "73.2") means that the model is better than d-matrix/gpt-j-6b .
Rank the GPT J 6B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803