6-bit 6bit Autotrain compatible Base model:microsoft/phi-4-min... Base model:quantized:microsoft... Code Conversational Custom code Endpoints compatible Instruct Mlx Mlx-my-repo Multilingual Phi3 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Phi-4-mini-instruct-6bit
Phi 4 Mini Instruct 6bit 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 4 Mini Instruct 6bit Parameters and Internals
| LLM Name | Phi 4 Mini Instruct 6bit |
| Repository 🤗 | https://huggingface.co/mlx-community/Phi-4-mini-instruct-6bit |
| Base Model(s) | |
| Model Size | 839.3m |
| Required VRAM | 3.1 GB |
| Updated | 2025-08-17 |
| Maintainer | mlx-community |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 6bit |
| Model Architecture | Phi3ForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.45.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 200064 |
| Torch Data Type | bfloat16 |
Rank the Phi 4 Mini Instruct 6bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124