A community mixed-precision conversion by TensorFold for Apple Silicon.
## Model Converted from the BF16 [Nex-N2.5-mini](https://huggingface.co/nex-agi/Nex-N2.5-mini) checkpoint using oMLX oQ6. The oQ label is a target, not a claim that every tensor uses the same precision; see the per-module quantisation entries in config.json. This text-and-vision model uses the qwen3_5_moe architecture. The inspected BF16 checkpoint contained no matching MTP tensors, despite its configuration declaring one MTP layer. This release does not provide tested MTP decoding; keep MTP disabled. ## Download and use ```bash hf download TensorFold/Nex-N2.5-mini-MLX-oQ6 --local-dir ./Nex-N2.5-mini-MLX-oQ6 ``` Add the folder to oMLX model directories, refresh the model list and select it. Basic inference was tested with oMLX 0.6.4. Use the [upstream-recommended sampling](https://github.com/nex-agi/Nex-N2.5): ```json { "temperature": 0.7, "top_p": 0.95, "top_k": 40 } ``` Set these explicitly in your client or model settings. Our sampled oQ2 retests also used reasoning_effort="none" and max_tokens=4096; these are test conditions, not an upstream recommendation to disable reasoning. Avoid greedy decoding for oQ2, which reproduced a repetition loop in our tests. ## Validation and limitations Tested on 9 September 2026 through oMLX 0.6.4 on an Apple Silicon Studio with 256 GiB unified memory. Exact arithmetic, a forced weather-tool call with a Paris argument, and identification of a synthetic red image passed for this quant. Tool calls were checked for formatting, not executed. These are basic checks, not a full coding, vision or agent evaluation. The long coding response finished naturally and its main Python block parsed; generated code was not executed. Controlled throughput benchmarks using recommended sampling have not been completed for this quant. Peak request memory and context-fit limits have not been measured, so no Mac memory-tier recommendation is claimed. Long-context, multi-turn and broader vision quality remain unverified. ## Short test With the sampling settings above, try: ```text What is 17 multiplied by 19? Answer with only the number. ``` The recorded arithmetic check returned `323` with temperature=0 and reasoning_effort="none". A short correct response does not establish long-generation reliability. ## Licence and attribution The upstream repository declares Apache-2.0. Model training, architecture and the original Nex logo belong to Nex-AGI and the respective upstream contributors. This is an independent community conversion, not an official Nex-AGI release. Upstream benchmark scores are not evaluations of this quant. [Follow TensorFold for new Apple Silicon releases and fixes.](https://huggingface.co/TensorFold)