Phi3 Wbn is an open-source language model by adhirajpandey. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, Quantized, Instruction-Based, LLM Explorer Score: 0.14.
Arxiv:1910.09700 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 | 2026-05-10 |
| 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 | 17 | 0 |
| ...nstruct Cinder With 16bit GGUF | 4K / 7.7 GB | 62 | 1 |
| Ph3 Q8 | 128K / 4 GB | 7 | 0 |
| ...hi 3 Mini 4K Instruct Sft 4bit | 4K / 2.3 GB | 5 | 0 |
| Phi 3.5 Mini Instruct | 128K / 7.7 GB | 701846 | 980 |
| Phi 4 Mini Instruct Heretic | 128K / 7.7 GB | 459 | 0 |
| Phi 3 Mini 128K Instruct | 128K / 7.7 GB | 5 | 0 |
| MediPhi Instruct | 128K / 7.7 GB | 1704 | 67 |
| NuExtract V1.5 | 128K / 7.7 GB | 108511 | 89 |
| Phi 3.5 Mini TitanFusion 0.1 | 128K / 7.7 GB | 14 | 0 |
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.
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Release v20260328a