Arxiv:1910.09700 Autotrain compatible Conversational Custom code Endpoints compatible Gguf Instruct Phi3 Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/adhirajpandey/phi3-wbn
Phi3 Wbn 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 Wbn Parameters and Internals
| LLM Name | Phi3 Wbn |
| Repository 🤗 | https://huggingface.co/adhirajpandey/phi3-wbn |
| Model Size | 3.8b |
| Required VRAM | 7.7 GB |
| Updated | 2025-09-13 |
| Maintainer | adhirajpandey |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | Phi3ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 32013 |
| Torch Data Type | float16 |
Best Alternatives to Phi3 Wbn
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Sign Language 20250823 190451 | 128K / 7.7 GB | 25 | 0 |
| ...nstruct Cinder With 16bit GGUF | 4K / 7.7 GB | 18 | 1 |
| Ph3 Q8 | 128K / 4 GB | 5 | 0 |
| Phi 4 Mini Instruct | 128K / 7.7 GB | 253346 | 597 |
| Phi 3 Mini 128K Instruct | 128K / 7.7 GB | 936694 | 1670 |
| Phi 3.5 Mini Instruct | 128K / 7.7 GB | 243411 | 908 |
| MediPhi Instruct | 128K / 7.7 GB | 4202 | 44 |
| NuExtract 1.5 | 128K / 7.7 GB | 84936 | 237 |
| MediPhi Clinical | 128K / 7.7 GB | 1690 | 9 |
| NuExtract V1.5 | 128K / 7.7 GB | 108511 | 89 |
Note: green Score (e.g. "73.2") means that the model is better than adhirajpandey/phi3-wbn .
Rank the Phi3 Wbn Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124