Alpaca Autotrain compatible Dataset:vicgalle/alpaca-gpt4 En Endpoints compatible Fp16 Gpt-j Gpt4 Gptj Instruct Pytorch Quantized Region:us Sharded
GPT J 6B Alpaca Gpt4 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 Alpaca Gpt4 Parameters and Internals
| LLM Name | GPT J 6B Alpaca Gpt4 |
| Repository 🤗 | https://huggingface.co/vicgalle/gpt-j-6B-alpaca-gpt4 |
| Model Size | 6b |
| Required VRAM | 24.3 GB |
| Updated | 2024-09-08 |
| Maintainer | vicgalle |
| Model Type | gptj |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | fp16 |
| Model Architecture | GPTJForCausalLM |
| License | mit |
| Model Max Length | 2048 |
| Transformers Version | 4.27.4 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50400 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to GPT J 6B Alpaca Gpt4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pyg Instruct Wizardlm | 0K / 12.2 GB | 687 | 1 |
| Zenos GPT J 6B Instruct 4bit | 0K / 3.4 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than vicgalle/gpt-j-6B-alpaca-gpt4 .
Rank the GPT J 6B Alpaca Gpt4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803