--- base_model: nex-agi/Nex-N2.5-mini base_model_relation: quantized license: apache-2.0 language: - en - zh pipeline_tag: text-generation library_name: mlx tags: - mlx - mlx-lm - 8-bit - long-context - 256k-context - moe --- [![🤗 Model Requests](https://img.shields.io/badge/%F0%9F%A4%97_Model_Requests-Submit_Here-f59e0b?style=for-the-badge&labelColor=1f2937)](https://abenzerps.com/request-a-model/) # Nex-N2.5-mini MLX — 8-bit MLX 8-bit conversion of [Nex-N2.5-mini](https://huggingface.co/nex-agi/Nex-N2.5-mini), a sparse MoE language model for local inference, coding, reasoning, and long-context work. The source checkpoint supports a native context length of **262,144 tokens (256K)**. ## Benchmarks ![Nex-N2.5 benchmark results](assets/Nex-N2.5-Benchmark-white.png) *Benchmark results reported by Nex AI for the original Nex-N2.5 checkpoint and its upstream evaluation setup.* ## Release | Format | Quantization | Size | | --- | --- | ---: | | MLX safetensors | Affine 8-bit, group size 64 | 36.85 GB | This release contains the text-generation weights and tokenizer. It does not include MTP weights or a vision projector. ## Usage ```bash pip install -U mlx-lm mlx_lm.generate \ --model . \ --prompt "Explain why reproducible builds matter." \ --max-tokens 512 ``` ## Source - Model: [Nex-N2.5-mini](https://huggingface.co/nex-agi/Nex-N2.5-mini) - Source revision: [87420286149d9cce9bd46cd335ef9bda33c37c1b](https://huggingface.co/nex-agi/Nex-N2.5-mini/tree/87420286149d9cce9bd46cd335ef9bda33c37c1b) - License: [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0) - Checksums: [SHA256SUMS.txt](SHA256SUMS.txt)