MODEL PROFILE

Nex-N2.5-mini-Sangreal-ICE

gbuzhf · Nex-N2.5-mini-Sangreal-ICE

Four ICE 1.6 tiers of **nex-agi's Nex-N2.5-mini** (35B total, 3B active, Qwen3.5-MoE architecture), quantized against **Sangreal** — a purpose-built 77-bucket calibration corpus — with an importance matrix measured on Nex itself, and shipping **Qwen-Sharp v22.5.0-arrow4.0** — our agent-tuned chat template, a heavily modified derivative of peculiar-ragdoll's Qwen-Sharp (spec below). Vision works through Nex's own projector, `mmproj-Nex-N2.5-mini-Q8_0.gguf`. Mean KLD to BF16, one session. **Size-matched** = bartowski's imatrix ladder for the same model, interpolated (log-linear) at each ICE file's exact byte size; negative = ICE closer to BF16. **Paired** = the same 64 chunks scored for both files against the same reference. Code at 16K context (`code.test.raw`, n_ctx 16384 × 8), mean KLD to BF16 vs file size; lower-left is better. Raw numbers in Table 2 below and in `measurements/2026-10-03/`.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:15:34
OVERVIEW

Model overview

Four ICE 1.6 tiers of **nex-agi's Nex-N2.5-mini** (35B total, 3B active, Qwen3.5-MoE architecture), quantized against **Sangreal** — a purpose-built 77-bucket calibration corpus — with an importance matrix measured on Nex itself, and shipping **Qwen-Sharp v22.5.0-arrow4.0** — our agent-tuned chat template, a heavily modified derivative of peculiar-ragdoll's Qwen-Sharp (spec below). Vision works through Nex's own projector, `mmproj-Nex-N2.5-mini-Q8_0.gguf`. Mean KLD to BF16, one session. **Size-matched** = bartowski's imatrix ladder for the same model, interpolated (log-linear) at each ICE file's exact byte size; negative = ICE closer to BF16. **Paired** = the same 64 chunks scored for both files against the same reference. Code at 16K context (`code.test.raw`, n_ctx 16384 × 8), mean KLD to BF16 vs file size; lower-left is better. Raw numbers in Table 2 below and in `measurements/2026-10-03/`.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。