Model Parameters and Internals
| LLM Name | Model |
| Repository | Open on 🤗 |
| Model Size | 6b |
| Required VRAM | 6.2 GB |
| Updated | 2024-07-27 |
| Maintainer | kanayatmd |
| Model Type | gptj |
| Model Files | |
| Quantization Type | 8bit |
| Model Architecture | GPTJForCausalLM |
| Transformers Version | 4.18.0 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50400 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Best Alternatives to Model
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Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| ...oduct NER GPT J 6B 4bit Merged | 0.2 | 0K / 2.5 GB | 21 | 0 |
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| Kakaobrain Kogpt 6B 8bit | 0.1 | 0K / 6.7 GB | 67 | 1 |
| Pygmalion 6b Dev 4bit 128g | 0.1 | 0K / 4 GB | 175 | 121 |
| GPT J 6B Skein 4bit 128g | 0.1 | 0K / 4 GB | 29 | 1 |
| Pygmalion 6B 4bit 128g | 0.1 | 0K / 4 GB | 63 | 39 |
| GPT J 6B Alpaca Gpt4 | 0.1 | 0K / 24.3 GB | 10 | 19 |
| Pygmalion 6B 4bit 128g | 0.1 | 0K / 4 GB | 21 | 3 |
| Dolly Shygmalion 6B 4bit 128g | 0.1 | 0K / 4 GB | 9 | 5 |
| PPO Pygway 6B Mix 4bit 128g | 0.1 | 0K / 4 GB | 12 | 2 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501