Phi 3 Taiwan Election is an open-source language model by wenlianghuang. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.14.
Arxiv:1910.09700 Autotrain compatible Conversational Custom code Endpoints compatible Instruct Phi3 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/wenlianghuang/phi-3-Taiwan-election
Phi 3 Taiwan Election 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)
Phi 3 Taiwan Election Parameters and Internals
| LLM Name | Phi 3 Taiwan Election |
| Repository 🤗 | https://huggingface.co/wenlianghuang/phi-3-Taiwan-election |
| Model Size | 3.8b |
| Required VRAM | 7.7 GB |
| Updated | 2024-11-05 |
| Maintainer | wenlianghuang |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Phi3ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to Phi 3 Taiwan Election
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3.5 Mini Instruct | 128K / 7.7 GB | 291298 | 909 |
| MediPhi Instruct | 128K / 7.7 GB | 4024 | 65 |
| NuExtract V1.5 | 128K / 7.7 GB | 108511 | 89 |
| Phi 3 Mini 128K Instruct | 128K / 7.7 GB | 5 | 0 |
| Phi 3.5 Mini TitanFusion 0.1 | 128K / 7.7 GB | 5 | 0 |
| Phi 4 Mini Instruct | 128K / 7.7 GB | 8381 | 24 |
| ECE EIFFEL 3Bv2 | 128K / 7.7 GB | 5 | 0 |
| NuExtract 1.5 | 128K / 7.7 GB | 4283 | 245 |
| MediPhi Clinical | 128K / 7.7 GB | 385 | 13 |
| MediPhi MedCode | 128K / 7.7 GB | 208 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than wenlianghuang/phi-3-Taiwan-election .
Rank the Phi 3 Taiwan Election Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a