8-bit 8bit Autotrain compatible Chatbot Compression Conversation Dataset:daily dialog Dialogue Gptj Pytorch Quantization Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ethzanalytics/gpt-j-8bit-daily_dialogues
GPT J 8bit Daily Dialogues 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 8bit Daily Dialogues Parameters and Internals
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| LLM Name | GPT J 8bit Daily Dialogues |
| Repository 🤗 | https://huggingface.co/ethzanalytics/gpt-j-8bit-daily_dialogues |
| Model Size | 6.2b |
| Required VRAM | 6.1 GB |
| Updated | 2025-05-09 |
| Maintainer | ethzanalytics |
| Model Type | gptj |
| Model Files | |
| Quantization Type | 8bit |
| Model Architecture | GPTJForCausalLM |
| License | apache-2.0 |
| Model Max Length | 2048 |
| Transformers Version | 4.24.0 |
| 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 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227