Wild West API

Is there an uncensored Nemotron Cascade 2 30B A3B?

Nemotron Cascade 2 30B A3B from NVIDIA is ranked 50 of 100 distinct active open-weight models in this Artificial Analysis snapshot.

Research and availability status

This is a research guide, not an available Wild West API model listing. No uncensored or abliterated Nemotron Cascade 2 30B A3B endpoint is confirmed here. An open-weight entry on AA does not establish that a derivative exists, works with a particular harness, or is hosted by Wild West API.

“Uncensored” describes reduced refusal behaviour or a service’s policy, not a standardized editing method. “Abliterated” refers to an intervention intended to reduce refusal-related behaviour through model-internal edits.

What rank 50 actually tells you

Nemotron Cascade 2 30B A3B scores above 50 of the 100 selected entries: a strictly-lower-score percentile of 50% in this snapshot. No other selected entry shares its exact index score. AA flags this index as estimated; treat the ordering as provisional.

It sits in the upper half of this selection. The relevant decision is whether its measured strengths fit the workload better than adjacent entries, not whether its rank is the highest available. Hosting cost and hardware requirements are outside this snapshot.

Base-model benchmark evidence

These are measurements attached to the evaluated base model, not an uncensored derivative. Missing values mean not reported here, never a zero score. Same-benchmark comparisons below use only entries with a reported measurement.

BenchmarkReported resultWithin-snapshot comparisonTask coverage
GPQA75.8%53 of 96 measured entries score lower on this same benchmarkgraduate-level science questions
Humanity’s Last Exam12.0%53 of 100 measured entries score lower on this same benchmarka broad set of difficult expert questions
SciCodeNot reportedNo comparison availablescientific coding tasks
IFBench80.4%62 of 65 measured entries score lower on this same benchmarkinstruction-following constraints
τ²-Bench53.2%39 of 64 measured entries score lower on this same benchmarkinteractive agent tasks
Terminal-Bench Hard21.2%47 of 63 measured entries score lower on this same benchmarkhard terminal-based tasks

The highest numerical reported percentage for Nemotron Cascade 2 30B A3B is IFBench at 80.4%; the lowest is Humanity’s Last Exam at 12.0%. These are numerical extremes, not evidence that one skill is stronger than another: benchmark percentages cannot be compared as if the tests had equal difficulty, scoring rules or task coverage. Compare IFBench with that same benchmark on another model, not with a different test.

Context window and a practical evaluation workload

At 1,000,000 tokens, a candidate workload is a large document collection or a repository with supporting specifications. A useful test would ask the model to trace a claim across distant files, then verify every citation. A large advertised window does not establish accurate retrieval throughout that window, and packing it fully can change latency and cost.

81 of the 100 entries have a smaller reported window than Nemotron Cascade 2 30B A3B. As a planning example, allocating 75% of its reported window to source material gives 750,000 tokens, leaving 250,000 for instructions, conversation, tool messages and output combined. This is arithmetic for a test budget, not an endpoint limit or an assertion that output can use the entire remainder.

Reasoning settings and release comparisons

It is marked reasoning by AA. There is no within-model setting spread to quantify, so a claim that a lower budget preserves its score would be unsupported. A derivative should be tested in the actual setting you intend to use.

Other entries credited to NVIDIA provide a publisher-level comparison, not proof of a shared architecture or training recipe. Nemotron 3 Super 120B A12B (Reasoning) ranks 47, scores 12.83 and reports 1,000,000 context tokens; Nemotron 3.5 Lightning ranks 46, scores 12.86 and reports 1,000,000 context tokens; Nemotron 3 Nano Omni 30B A3B Reasoning ranks 63, scores 10.25 and reports 256,000 context tokens. Compare exact releases and evaluation settings rather than carrying a family’s reputation over to this model.

Nearby ranked alternatives

The closest ranks give a bounded shortlist for evaluating Nemotron Cascade 2 30B A3B. A small index gap is not a statistical significance claim; compare task outcomes and deployment conditions directly.

AlternativeRankIndex and gap from this modelContext
MiniCPM5-2B4812.46 (+0.79 points)131,072 tokens
HyperNova 60B 2605 (High, Based on gpt-oss-120b)4911.74 (+0.07 points)131,072 tokens
gpt-oss-120b (High)5111.60 (-0.07 points)131,072 tokens
K2 Think V25211.50 (-0.18 points)262,144 tokens

How to evaluate an uncensored or abliterated candidate

For Nemotron Cascade 2 30B A3B, first locate the exact base release and any claimed derivative’s model card. Verify access, redistribution and usage terms at their original sources: AA’s open-weight classification does not assert an open-source license. Record the base revision, derivative revision, runtime and reasoning setting so your comparison can be reproduced.

Weight-based abliteration generally studies differences between activations on refusal-inducing and ordinary prompts, identifies candidate refusal-related directions, and intervenes on model internals. It is not equivalent to changing a system prompt or removing an API filter. Whether a particular intervention is supported depends on the model and implementation; this guide supplies no architecture-specific recipe or claim that the method has been validated on Nemotron Cascade 2 30B A3B.

Run the base and candidate on the same permitted task set before and after changes. Measure refusal behaviour separately from factual errors, instruction following, coding correctness and tool execution. Use IFBench as one reference for task coverage, while keeping its published percentage separate from your own results. Track any regression and repeat with the exact context length and setting your application needs. A lower refusal rate is not evidence that all other behaviour survived unchanged.

Sources and scope

Snapshot retrieved 2026-10-06T06:17:07.812043+00:00. AA’s Nemotron Cascade 2 30B A3B model entry supplies the evaluated setting and measurements; the Artificial Analysis leaderboard is the population source. Top 100 distinct active open-weight model names by Artificial Analysis Intelligence Index. Reasoning-budget parentheticals are removed for grouping; the strongest scored setting represents each group. Open weights is AA's classification, not an open-source-license assertion. Scores describe the evaluated base models, not uncensored derivatives. Rank is within this selected active open-weight population, not the complete leaderboard.

For the research behind refusal-direction interventions, see Arditi et al., Refusal in Language Models Is Mediated by a Single Direction. This general research source does not establish successful abliteration of this release. Continue with the abliteration explanation or the current Wild West API line; only the latter lists products for sale.

Questions about Nemotron Cascade 2 30B A3B

Is Nemotron Cascade 2 30B A3B abliterated on Wild West API?

Not confirmed by this guide. This page documents an AA open-weight research entry, not a hosted derivative. Check the current model line for available products.

Does the 11.67 index score apply to an uncensored derivative?

No. It describes AA’s evaluated Nemotron Cascade 2 30B A3B base-model setting. Changes to weights, prompts, quantization, tools or reasoning budgets require fresh evaluation before carrying the score over.

Can I use the full 1,000,000-token window?

That is the context figure in the AA snapshot, not a guarantee for every deployment. Confirm the actual endpoint or runtime limits and reserve space for output and tool messages. Test retrieval accuracy near the ends of long inputs.

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