Arxiv:2311.10122 Baichuan Custom code En Feature-extraction Machinemindset Mbti Pytorch Region:us Sharded Zh
Model Card on HF 🤗: https://huggingface.co/PandaVT/MBTIGPT_zh_ESFP
MBTIGPT Zh ESFP 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)
MBTIGPT Zh ESFP Parameters and Internals
| Model Type |
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | MBTIGPT Zh ESFP |
| Repository 🤗 | https://huggingface.co/PandaVT/MBTIGPT_zh_ESFP |
| Required VRAM | 15 GB |
| Updated | 2024-10-15 |
| Maintainer | PandaVT |
| Model Type | baichuan |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | BaichuanForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.33.2 |
| Tokenizer Class | BaichuanTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 125696 |
| Torch Data Type | bfloat16 |
Best Alternatives to MBTIGPT Zh ESFP
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MBTIGPT Zh ISTJ | 4K / 15 GB | 52 | 0 |
| MBTIGPT Zh INTP | 4K / 15 GB | 11 | 6 |
| MBTIGPT Zh ISTJ | 4K / 15 GB | 32 | 0 |
| MBTIGPT Zh INTP | 4K / 15 GB | 7 | 6 |
| MBTIGPT Zh ESFP | 4K / 15 GB | 7 | 1 |
| DISC MedLLM | 0K / 26.5 GB | 9 | 1 |
| DISC MedLLM | 0K / 26.5 GB | 905 | 51 |
| Roleplay Baichuan Chat 4bit | 0K / 7.9 GB | 2 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than PandaVT/MBTIGPT_zh_ESFP .
Rank the MBTIGPT Zh ESFP Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124