Phi 3 Mini 4K Instruct 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 Mini 4K Instruct Parameters and Internals
| LLM Name | Phi 3 Mini 4K Instruct |
| Repository 🤗 | https://huggingface.co/AlekseyElygin/Phi-3-mini-4k-instruct |
| Base Model(s) | |
| Required VRAM | 2.3 GB |
| Updated | 2024-09-16 |
| Maintainer | AlekseyElygin |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Phi 3 Mini 4K Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 47214 | 594 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 18665 | 15 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 18656 | 291 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 14353 | 128 |
| ...i 3 Mini 4K Instruct V0.3 GGUF | 0K / 1.4 GB | 227 | 5 |
| Spydaz Web AI | 0K / 4.4 GB | 72 | 3 |
| ...i 3 Mini 4K Instruct V0.2 GGUF | 0K / 1.4 GB | 146 | 2 |
| Dre Phi Gguf | 0K / 2.3 GB | 32 | 0 |
| ...i 3 Mini 4K Instruct V0.1 GGUF | 0K / 1.4 GB | 132 | 1 |
| Jenna V01 Gguf 16bit | 0K / 7.6 GB | 25 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/Phi-3-mini-4k-instruct .
Rank the Phi 3 Mini 4K Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803