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Nemotron 3 Nano 4B

Nemotron 3 Nano 4B — the current WumboLabs evidence state on one page: tested profiles, validated context, and the full chronological testing history. Each value is attributed to the profile and event that measured it.

READY WITH GUARDRAILS / latest evidence 2026-09-11

WumboLabs tests Nemotron 3 Nano 4B on real consumer hardware. This is the canonical model page: current state first, then every tested profile and every evidence event. Values are attributed to the profile and event that measured them; historical findings remain the evidence of their tested stack and are never silently replaced.

Current state

Tested profiles

llama.cpp Q4_K_M — CURRENT

Profile identity: nemotron-3-nano-4b-llamacpp-q4km.

FieldValue
Runtimellama.cpp build b10449, commit 0d9ceae1e38291035605613ab41a8f5e693d6fcd (CUDA SM120)
ArtifactNVIDIA-Nemotron3-Nano-4B-Q4_K_M.gguf — the only official llama.cpp quant NVIDIA publishes for this model
PrecisionQ4_K_M weights; f16 KV cache; dense hybrid (no MoE)

Status: current canonical/recommended tested surface.

Canonical Evidence Profile Metadata

Events on this profile:

Testing history

Newest first. Each event is one immutable testing/publication event; the exact scientific report lives in the canonical evidence repository linked at the top of each event.

2026-09-11 — Current-WELP recharacterization

WELP Recharacterization — llama.cpp Q4_K_M · profile: llama.cpp Q4_K_M · maturity: CURRENT_WELP · status: READY_WITH_GUARDRAILS

Canonical Evidence / Full Report View on GitHub

Identity
FieldValue
ModelNemotron 3 Nano 4B
ProducerNVIDIA
Official modelnvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF (GGUF) / nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16 (BF16 weights) @ ba223d14e45525f7fae81db77ea8cabeb2fc6c25
Tested artifactNVIDIA-Nemotron3-Nano-4B-Q4_K_M.gguf — the only official llama.cpp quant NVIDIA publishes for this model
PrecisionQ4_K_M weights; f16 KV cache; dense hybrid (no MoE)
Artifact SHA-256be5d9a656a51922f24f1f09a759cebb694e1f5d9728bf0ef9f8c972c5a0b5ef2
Campaignnemotron3-nano-4b-rtx5070-welp-recharacterization-2026-09-11
Record date2026-09-11
Runtime and hardware
FieldValue
Enginellama.cpp
Runtime versionbuild b10449, commit 0d9ceae1e38291035605613ab41a8f5e693d6fcd (CUDA SM120)
Runtime notesFull GPU residency (-ngl 999), parallel=1, FlashAttention on, f16 KV, reasoning-off baseline via the official enable_thinking template kwarg
HardwareWumboJetsII (NVIDIA GeForce RTX 5070 12GB)
Hardware notesSingle-user workstation; AMD Ryzen 7 9800X3D; Fedora Linux
WELP outcome
  • Outcome: PASS — NEMOTRON3_NANO_4B_RTX5070_RECHARACTERIZED
  • Classification: READY_WITH_GUARDRAILS (reliability is the guardrail)
  • Artifact classification: Canonical official llama.cpp deployment surface (sole official quant); BF16 fit-limited on this GPU at the tested context targets; Q4_K_M quality confound disclosed

Publication state: published — canonical evidence: https://github.com/WumboLabs/evaluations/blob/479cb50c197f8ea0dd905a68ffd61f632f49c652/models/nemotron-3-nano-4b/events/welp-recharacterization-2026-09-11/REPORT.md

Context profile
FieldValue
Practical default32768 tokens
Guarded context131072 tokens
Native model-card maximum262144 tokens
Model-card envelope completeYES
Native maximum dispositionVALIDATED — capacity admitted, near-full performance measured (uncached prefill ~2,877 tok/s, decode ~79-81 tok/s, 7,268 MiB VRAM), strict useful-context PASS at both required seeds (42, 314159)
Headline performance
SurfaceTTFTPrefillDecode
Short0.046 s—186.6 tok/s
Moderate (3880-token input)0.507 s7498 tok/s182.9 tok/s

Short/moderate values are campaign-measured streaming surfaces; context-rung values are near-full occupancy measurements with unique prompts (cached tokens 0 at the native-maximum rungs)

Quality and capabilities
  • Constrained result: frozen 12-task model-neutral screen 12/12 PASS (mechanical scorer frozen before outputs; temp 0, seed 42)
  • Reasoning TESTED_PASS in the official thinking mode; coding TESTED_PASS on executable frozen cases; tool calling TESTED_PASS (structural validity + grounded continuation, bounded — not autonomous-agent qualification)
  • Strongest near-full strict-compliance context result in the current control set: strict useful-context aggregate PASS at every rung through 99.49% of the native 262,144-token maximum
  • First hybrid Mamba-2 model characterized under current WELP on this host; measured allocation confirms fixed recurrent state plus 4-layer context-linear KV
  • Zero OOM, zero CUDA errors, zero Xid; peak 247-249 W within the stock 250 W envelope
Guardrails and limitations
  • Behavioral reliability has measurable hallucination/evidence-discipline defects under the adversarial corpus: clean-pass 0.30/0.25 and hallucination 0.20/0.15 across seeds 42/314159 on a 20-request stratified sample of the proven mechanical reliability corpus (transport success 40/40)
  • The model confidently fabricated a nonexistent CUDA API and capitulated to a false user assertion; independently verify technical/factual claims in adversarial or evidence-discipline-sensitive contexts
  • The 12/12 bounded quality screen is not evidence of universal reliability; the strict near-full context PASS is not proof of universal long-document reasoning
  • Q4_K_M quantization confound disclosed, not measured against BF16

Reliability: Transport/runtime reliability strong; bounded quality/structured behavior clean; adversarial behavioral reliability materially weaker — the historical Phase-4 weakness is reproduced on the current instrument and remains the mandatory guardrail

LocalMaxxing
FieldValue
StatusSUBMITTED
Canonical context32768 tokens
tok/s out185.8
TTFT125.1 ms
Submission referencecmt86gy1j000eli01ca3cwwn0
verifiedRunNO

Exact canonical practical profile (Q4_K_M, llama.cpp b10449, 32,768 context, f16 KV, full GPU, RTX 5070) already submitted and approved 2026-08-25; per the never-duplicate rule zero new submissions were created. A fresh 5-rep local benchmark (tg128 191.0 tok/s, pp512 8,275 tok/s) reproduces the submitted result.

Canonical evidence

Canonical public evidence: https://github.com/WumboLabs/evaluations/blob/479cb50c197f8ea0dd905a68ffd61f632f49c652/models/nemotron-3-nano-4b/events/welp-recharacterization-2026-09-11/REPORT.md

This event section is a human-readable derivative of the accepted local WELP campaign evidence named above; the campaign's REPORT.md is the authoritative scientific source. Results are bounded by the tested artifact, runtime, hardware, configuration, and protocol snapshot, and are not universal model rankings.

2026-08-25 — Initial evaluation (protocol development, PROTOCOL_BLOCKED)

Initial Evaluation — PROTOCOL_BLOCKED (historical, preserved) · profile: llama.cpp Q4_K_M · maturity: PROTOCOL_BLOCKED · status: PARTIAL_PROTOCOL_DEVELOPMENT

Canonical Evidence / Full Report View on GitHub

Identity

FieldValue
ModelNemotron 3 Nano 4B
ProducerNVIDIA
Evaluated artifactNVIDIA-Nemotron3-Nano-4B-Q4_K_M.gguf
Source revisionba223d14e45525f7fae81db77ea8cabeb2fc6c25
SHA-256be5d9a656a51922f24f1f09a759cebb694e1f5d9728bf0ef9f8c972c5a0b5ef2
Evaluation date2026-08-25
ProtocolWELP, first deliberate WELP validation campaign
Highest phase reachedPhase 3 (gate decision)
Campaign classificationPARTIAL_PROTOCOL_DEVELOPMENT

Hardware

FieldValue
MachineWumboJetsII
GPUNVIDIA GeForce RTX 5070 12GB (SM120)
VRAM12,227 MiB physical
CPUAMD Ryzen 7 9800X3D
OSFedora Linux 44, kernel 7.1.9
Driver / CUDANVIDIA 610.57.04
Runtimellama.cpp b10449 (commit 0d9ceae1e38291035605613ab41a8f5e693d6fcd)

Headline Verdict

PROTOCOL_BLOCKED at Phase 3 gate decision.

The model showed no failing behavior. WELP's documented material contains no Phase 3 advancement threshold, so no deterministic PASS/FAIL could be produced without inventing a rule, which the campaign forbids.

This campaign contributed to protocol development. It is not a complete WELP capability review. Do not present it as equivalent in evaluation depth to Qwen3.8-27B.

Performance

MetricResult
Decode~178 tok/s mean (512-token generations)
Prefill~6,500 tok/s at ~2,600-token prompts
TTFT (short prompt)~30 ms
llama-bench (p512/n128)~180 tok/s out, 65 ms TTFT

Phases Reached

PhaseGateOutcome
0 Provenance—PASS
1 Admission (hard)PASSLoads; full GPU residency verified; clean inference/termination
2 PerformancePASS*Criterion interpreted (F-02)
3 Practical ViabilityPROTOCOL_BLOCKED12/12 screen but protocol defines no advancement threshold (F-01)
4–10, OMP-21BNOT RUNStopped per campaign rule

Practical Viability Evidence

12 tasks across instruction following, strict output, extraction, structured JSON, technical knowledge, false-premise rejection, uncertainty behavior, simple reasoning: 12/12, mechanical scoring. This is screening evidence, not a gate pass.

Reasoning Findings

Bounded observations only (dedicated module not reached): default mode emits <think> traces then answers; enable_thinking=false yields direct correct answers. Producer's reasoning-off benchmark framing is operationally reproducible on this runtime.

Role Classification

No deployment recommendation is supported by this evidence.

What the reached phases establish:

  • The model loaded cleanly and served stably across the tested phases
  • Performance was measured
  • The Phase-3 screening result was measured: 12/12
  • OMP connectivity was demonstrated
  • The reasoning-control mechanism was boundedly observed

Explicitly NOT TESTED: reliability, capability modules, context quality, variance, soak, and agent capability.

Important Limitations

  • Single-seed practical screen. Reliability, context quality, coding, tools, agent behavior, and soak were NOT TESTED.
  • Context wording: the server was configured with a 32K context window and inference ran within it. Useful 32K context behavior was not evaluated.
  • No LLMGauge Agent Harness result. LLMGauge was never invoked.
  • Protocol findings: this campaign identified 9 protocol ambiguities (F-01 through F-09) and 4 undocumented decisions required. These are documented in the canonical repo.
  • Results must not be generalized to a model review.
  • Canonical evaluation repo: https://github.com/WumboLabs/evaluations/tree/553a68d915b9ea1c9c9b3be6fa65c16f13527c24/models/nemotron-3-nano-4b/profiles/nemotron-3-nano-4b-llamacpp-q4km
  • WELP protocol: https://github.com/WumboLabs/welp
  • Labs catalog: https://github.com/WumboLabs/evaluations/tree/553a68d915b9ea1c9c9b3be6fa65c16f13527c24/models
  • LocalMaxxing: Speed run measured locally (~180 tok/s); submission blocked on missing credentials. No benchmark suite submissions.

Reproduction

Direct link to canonical reproduction material: Central evidence

This Lab Record is a summary; the canonical repo is the source of truth.

Canonical evidence

All canonical public evidence lives in WumboLabs/evaluations. Each event links an immutable full-commit/path citation; each profile remains a distinct scientific identity, not a separate repository.

Legacy provenance