Up to date
nvidia NVIDIA Open Model License (nvidia-open-model-license) out 15 months ago
49.9B parameters, text in, text out, 128K tokens of context.
Verified 2026-10-25 Rank #537 in LLMs · score 75.3 method v1 Sources 3 Downloads 30d 102.1k · #313 of 619 tracked
Changed this week: 2 new quantized builds on the Hub (21 in all).2026-10-24
Picked by rule from 14 tracked pieces: the lab's own post, the most shared, a field report, the latest.
The project trained a Sparse Autoencoder on 6.5 Billion activations from Llama 3.2-3B layer 23 over 10 epochs.
The 2 picks above, plus these 12. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
No API provider serves it, so its downloads are people running it themselves: 21 quantized builds and 3 Spaces.
Top Spaces running it: Thiresh/DataAnalysisAgent ♥ 1
Weights only, an estimate: leave room for the KV cache. Method
About 30 GB at INT4, 60 GB at FP8, 120 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2025-07-25), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.
37 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
The model is a derivative of Meta Llama-3.3-70B-Instruct and supports a context length of 128K tokens.[1]
Generated 2026-10-07 15:12 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
Listed in LLMs
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | DeciLMForCausalLM |
| Model type | nemotron-nas |
| Dtype | bfloat16 |
| Params by dtype | BF16: 49,867,145,216 |
| Size band | XL |
| MoE | no |
| Context length | 131,072 (config.json max_position_embeddings) |
| Languages | en |
| Papers | arXiv:2411.19146, arXiv:2505.00949, arXiv:2502.00203 |
| License | NVIDIA Open Model License (nvidia-open-model-license) (other) |
| Hub snapshot | 2026-10-25 |
vLLM: supported · DeciLMForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · DeciLMForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed
vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.
Weights-only memory for Llama-3_3-Nemotron-Super-49B-v1_5: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 120 GB · Multi-GPU node (<640 GB) |
|---|---|
| FP8 (1 byte/param) | 60 GB · Single high-end GPU (<80 GB) |
| INT4 (0.5 bytes/param) | 30 GB · Single high-end GPU (<80 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
quantized: 21finetune: 6adapter: 10
Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.
arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:40 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-25
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