abenzerps / Nex-N2.5-mini-MLX-4bit

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Total runs: 799
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7-day runs: -775
30-day runs: 95
Model's Last Updated: September 09 2026
text-generation

Introduction of Nex-N2.5-mini-MLX-4bit

Model Details of Nex-N2.5-mini-MLX-4bit

Nex-N2.5-mini MLX — 4-bit

MLX 4-bit conversion of 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

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 4-bit, group size 64 19.53 GB

This release contains the text-generation weights and tokenizer. It does not include MTP weights or a vision projector.

Usage
pip install -U mlx-lm
mlx_lm.generate \
  --model . \
  --prompt "Explain why reproducible builds matter." \
  --max-tokens 512
Source

Runs of abenzerps Nex-N2.5-mini-MLX-4bit on huggingface.co

799
Total runs
-137
24-hour runs
-303
3-day runs
-775
7-day runs
95
30-day runs

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Nex-N2.5-mini-MLX-4bit install

Nex-N2.5-mini-MLX-4bit is an open source model from GitHub that offers a free installation service, and any user can find Nex-N2.5-mini-MLX-4bit on GitHub to install. At the same time, huggingface.co provides the effect of Nex-N2.5-mini-MLX-4bit install, users can directly use Nex-N2.5-mini-MLX-4bit installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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