MODEL PROFILE

SNEX-V1

gbuzhf · SNEX-V1

**SNEX-V1 is Sage-A1.5 with a small, sparse transplant of Nex-N2.5-mini's training.** Sage is the body; from Nex only the largest changes its own training made are carried over, at a quarter of their strength. Everything else is Sage's: the vision projector, the MTP draft head, the router, the norms, the embeddings. Score: BF16 = 100; 70 % full-distribution fidelity `1/(1+KLD)` + 30 % same-top-1, averaged over the three sets. **1. Lineage first.** Weight comparisons placed the three models: Sage-A1.5 is a fine-tune of Qwen3.6-35B-A3B; Nex-N2.5-mini is a fine-tune of Qwen3.5-35B-A3B; Qwen3.6 continues Qwen3.5. So Nex's own training is `τ = Nex − Qwen3.5`. Taking the difference against Qwen3.6 instead would also subtract the 3.5 → 3.6 upgrade that Sage already carries.

Visual QAlicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/31 05:15:24
OVERVIEW

Model overview

**SNEX-V1 is Sage-A1.5 with a small, sparse transplant of Nex-N2.5-mini's training.** Sage is the body; from Nex only the largest changes its own training made are carried over, at a quarter of their strength. Everything else is Sage's: the vision projector, the MTP draft head, the router, the norms, the embeddings. Score: BF16 = 100; 70 % full-distribution fidelity `1/(1+KLD)` + 30 % same-top-1, averaged over the three sets. **1. Lineage first.** Weight comparisons placed the three models: Sage-A1.5 is a fine-tune of Qwen3.6-35B-A3B; Nex-N2.5-mini is a fine-tune of Qwen3.5-35B-A3B; Qwen3.6 continues Qwen3.5. So Nex's own training is `τ = Nex − Qwen3.5`. Taking the difference against Qwen3.6 instead would also subtract the 3.5 → 3.6 upgrade that Sage already carries.

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

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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。