Arxiv:1910.09700 Autotrain compatible Conversational Custom code Endpoints compatible Finetuned Instruct Phi3 Region:us Safetensors Sft Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/JuanMa360/Phi-3-mini-128k-dd360-finetune
Phi 3 Mini 128K Dd360 Finetune 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 128K Dd360 Finetune Parameters and Internals
| LLM Name | Phi 3 Mini 128K Dd360 Finetune |
| Repository 🤗 | https://huggingface.co/JuanMa360/Phi-3-mini-128k-dd360-finetune |
| Model Size | 3.8b |
| Required VRAM | 7.7 GB |
| Updated | 2025-10-01 |
| Maintainer | JuanMa360 |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Phi3ForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to Phi 3 Mini 128K Dd360 Finetune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 4 Mini Instruct | 128K / 7.7 GB | 268462 | 600 |
| Phi 3 Mini 128K Instruct | 128K / 7.7 GB | 730029 | 1673 |
| Phi 3.5 Mini Instruct | 128K / 7.7 GB | 291298 | 909 |
| MediPhi Instruct | 128K / 7.7 GB | 4661 | 44 |
| NuExtract 1.5 | 128K / 7.7 GB | 118611 | 237 |
| MediPhi Clinical | 128K / 7.7 GB | 7080 | 9 |
| NuExtract V1.5 | 128K / 7.7 GB | 108511 | 89 |
| Phi 3.5 Mini TitanFusion 0.1 | 128K / 7.7 GB | 5 | 0 |
| Phi 4 Mini Instruct | 128K / 7.7 GB | 4930 | 20 |
| MediPhi MedCode | 128K / 7.7 GB | 845 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than JuanMa360/Phi-3-mini-128k-dd360-finetune .
Rank the Phi 3 Mini 128K Dd360 Finetune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124