Autotrain compatible Base model:microsoft/phi-2 Base model:quantized:microsoft... En Endpoints compatible Openvino Phi Region:us
Phi 2 Int8 Ov 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 2 Int8 Ov Parameters and Internals
| LLM Name | Phi 2 Int8 Ov |
| Repository 🤗 | https://huggingface.co/OpenVINO/phi-2-int8-ov |
| Base Model(s) | |
| Required VRAM | 0 GB |
| Updated | 2024-10-30 |
| Maintainer | OpenVINO |
| Model Type | phi |
| Model Files | |
| Supported Languages | en |
| Model Architecture | PhiForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
Best Alternatives to Phi 2 Int8 Ov
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi1.5 Quantized 2 | 2K / GB | 12 | 0 |
| Merlin1.4 | 2K / 5.6 GB | 79 | 0 |
| Merlin1.5 | 2K / 5.6 GB | 77 | 0 |
| Merlin1.2 | 2K / 5.6 GB | 77 | 0 |
| Merlin1.3 | 2K / 5.6 GB | 74 | 0 |
| Tinyllama Quant | 2K / 0.8 GB | 14 | 1 |
| Phi1.5 Update 4 | 2K / GB | 16 | 0 |
| Phi 2 Fp8 | 2K / 3.3 GB | 7 | 0 |
| Phi 2 Ov Quantized | 2K / 1.9 GB | 48 | 0 |
| Phi Bode 2 Ultraalpaca | 2K / 5.6 GB | 32 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than OpenVINO/phi-2-int8-ov .
Rank the Phi 2 Int8 Ov 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? 37405 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803