Arxiv:1910.09700 Autotrain compatible Conversational Custom code Endpoints compatible Phi3 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Hoshikuzu/Phi-3-mini-4k-japanese-tokenizer
Phi 3 Mini 4K Japanese Tokenizer Parameters and Internals
| LLM Name | Phi 3 Mini 4K Japanese Tokenizer |
| Repository 🤗 | https://huggingface.co/Hoshikuzu/Phi-3-mini-4k-japanese-tokenizer |
| Model Size | 3.9b |
| Required VRAM | 7.9 GB |
| Updated | 2024-07-04 |
| Maintainer | Hoshikuzu |
| Model Type | phi3 |
| Model Files | |
| Model Architecture | Phi3ForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 51898 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi 3 Mini 4K Japanese Tokenizer
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi Jp Test Model | 4K / 15.8 GB | 4 | 1 |
| ...hi 3 Medium 128K Instruct 8bit | 128K / 14.9 GB | 14 | 2 |
| Phi 3 Medium 4K Instruct 8bit | 4K / 14.9 GB | 6 | 0 |
| ...edium 128K Instruct GPTQ 8 Bit | 128K / 14.6 GB | 43 | 0 |
| ...um 128K Instruct GPTQ 8 Bit C4 | 128K / 14.6 GB | 5 | 0 |
| ... Medium 4K Instruct 8 Bit Gptq | 4K / 14.6 GB | 4 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than Hoshikuzu/Phi-3-mini-4k-japanese-tokenizer .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227