Model Card on HF 🤗: https://huggingface.co/njaana/phi3-mini-demo-fine-tune-model
Phi3 Mini Demo Fine Tune Model 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)
Phi3 Mini Demo Fine Tune Model Parameters and Internals
| LLM Name | Phi3 Mini Demo Fine Tune Model |
| Repository 🤗 | https://huggingface.co/njaana/phi3-mini-demo-fine-tune-model |
| Required VRAM | 2.3 GB |
| Updated | 2025-02-22 |
| Maintainer | njaana |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
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| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 8203 | 301 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 10762 | 138 |
| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 16 | 3 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 961 | 16 |
Note: green Score (e.g. "73.2") means that the model is better than njaana/phi3-mini-demo-fine-tune-model .
Rank the Phi3 Mini Demo Fine Tune Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227