Japanese Novel GPT J 6B F16 Marisa 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)
Japanese Novel GPT J 6B F16 Marisa Parameters and Internals
| LLM Name | Japanese Novel GPT J 6B F16 Marisa |
| Repository 🤗 | https://huggingface.co/tsukemono/japanese-novel-gpt-j-6b-f16-marisa |
| Model Size | 6b |
| Required VRAM | 12.2 GB |
| Updated | 2024-09-07 |
| Maintainer | tsukemono |
| Model Type | gptj |
| Model Files | |
| Supported Languages | ja |
| Quantization Type | fp16 |
| Model Architecture | GPTJForCausalLM |
| Transformers Version | 4.32.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50400 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Best Alternatives to Japanese Novel GPT J 6B F16 Marisa
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Model | 0K / 6.2 GB | 6 | 0 |
| ...oduct NER GPT J 6B 4bit Merged | 0K / 2.5 GB | 6 | 0 |
| Kakaobrain Kogpt 6B 8bit | 0K / 6.7 GB | 5 | 1 |
| Pygmalion 6b Dev 4bit 128g | 0K / 4 GB | 127 | 121 |
| GPT J 6B Skein 4bit 128g | 0K / 4 GB | 14 | 1 |
| GPT J 6B Alpaca Gpt4 | 0K / 24.3 GB | 31 | 20 |
| Pygmalion 6B 4bit 128g | 0K / 4 GB | 9 | 3 |
| Pygmalion 6B 4bit 128g | 0K / 4 GB | 42 | 39 |
| Dolly Shygmalion 6B 4bit 128g | 0K / 4 GB | 6 | 5 |
| PPO Pygway 6B Mix 4bit 128g | 0K / 4 GB | 11 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than tsukemono/japanese-novel-gpt-j-6b-f16-marisa .
Rank the Japanese Novel GPT J 6B F16 Marisa Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35693 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803