Base model:microsoft/phi-1 5 Base model:quantized:microsoft... Custom code Onnx Phi Q4 Quantized Region:us Transformers.js
Phi 1 5 Q4 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 1 5 Q4 Parameters and Internals
| Additional Notes |
|
| LLM Name | Phi 1 5 Q4 |
| Repository 🤗 | https://huggingface.co/BricksDisplay/phi-1_5-q4 |
| Base Model(s) | |
| Updated | 2024-11-21 |
| Maintainer | BricksDisplay |
| Model Type | phi |
| Quantization Type | q4 |
| Model Architecture | PhiForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
Best Alternatives to Phi 1 5 Q4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 2 Hf 4bit Mlx | 2K / 1.8 GB | 2722 | 1 |
| Phi1.5 Quantized 2 | 2K / GB | 13 | 0 |
| Merlin1.4 | 2K / 5.6 GB | 78 | 0 |
| Merlin1.5 | 2K / 5.6 GB | 78 | 0 |
| Merlin1.2 | 2K / 5.6 GB | 77 | 0 |
| Merlin1.3 | 2K / 5.6 GB | 77 | 0 |
| Tinyllama Quant | 2K / 0.8 GB | 15 | 1 |
| Phi1.5 Update 4 | 2K / GB | 15 | 0 |
| Phi 2 Int8 Ov | 2K / 0 GB | 78 | 0 |
| Phi 2 Fp8 | 2K / 3.3 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than BricksDisplay/phi-1_5-q4 .
Rank the Phi 1 5 Q4 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? 38199 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110