Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Mistral Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/rwitz2/empty-phi-500m
Empty Phi 500M 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)
Empty Phi 500M Parameters and Internals
| LLM Name | Empty Phi 500M |
| Repository 🤗 | https://huggingface.co/rwitz2/empty-phi-500m |
| Model Size | 500m |
| Required VRAM | 1.5 GB |
| Updated | 2025-02-22 |
| Maintainer | rwitz2 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float32 |
Best Alternatives to Empty Phi 500M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| InstructLM 500M | 2K / 2.3 GB | 185 | 34 |
| Random Phi 500M | 2K / 0.7 GB | 63 | 0 |
| Phi 500M C2 | 2K / 0.7 GB | 63 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than rwitz2/empty-phi-500m .
Rank the Empty Phi 500M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227