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Nemotron Nano 9B V2 (free)
◆ OPEN
by Nvidia
OPEN WEIGHTSLOCALAPIFREE TO TRYREASONING
RANKED #249 OF 318 ASSISTANTS · OVERALL #380 OF 495 RANKED · VIBE SCORE 5.7 · 46 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...
HAPPY10.0
1 mentions
SAD-
0 mentions
VIBE TRAJECTORY
26 weeks · 27 voices in this window
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download Nemotron Nano 9B V2 (free) once and it's yours. No subscription, no rate limits, works offline.
9B parameters, a Q4 file is about 5.5 GB and FP16 is about 18 GB
- BARE MINIMUM
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$280 USEDQ4_K_M quantization at full GPU offload, ~55 tok/s, 8k context
- SWEET SPOT
Nvidia GeForce RTX 4070 Ti Super 16GB
16 GB VRAM
~$780 NEWQ8_0 or NVFP4/FP8 quantization, ~95 tok/s, 32k context
- FULL POWER
Nvidia GeForce RTX 4090 24GB
24 GB VRAM
~$1850 NEWUnquantized BF16 / FP16 precision, ~130 tok/s, up to 131k context
LEARN HOW TO SET IT UP
WILL MY BOX RUN NEMOTRON NANO 9B V2 (FREE)?
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long Nemotron Nano 9B V2 (free) takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GeForce RTX 3060 12GB | SWEET SPOTNvidia GeForce RTX 4070 Ti Super 16GB | FULL POWERNvidia GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~9 S | ~5 S | ~4 S |
| Summarize a documenta long report boiled down to the points that matter | ~27 S★★★★★ | ~16 S★★★★★ | ~12 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~2.4 MIN★★★★★ | ~84 S★★★★★ | ~62 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~7.6 MIN★★★★★ | ~4.4 MIN★★★★★ | ~3.2 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~4.5 MIN★★★★★ | ~2.6 MIN★★★★★ | ~1.9 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
WHAT THE INTERNET SAYS
Not enough discussion about Nemotron Nano 9B V2 (free) yet to call it. We found 46 posts but people did not say much either way.
37 POSTS · 9 COMMENTS · BLUESKY · REDDIT · GITHUB · DEV.TO · LEMMY · BLOG
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT MORE
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE? SEE ALL
Other models the crowd has fully reviewed, starting with text models like this one.
Muse Spark 1.3 Contributor
LFM2.5 24B A2B> SOURCES (12)
- REDDIT · 2025-09-21 · 468 UPVOTESThere is a very real possibility that Google, OpenAI, Anthropic, etc. will release their own super cheap versions of Grok-4-fast!
There is a very real possibility that Google, OpenAI, Anthropic, etc. will release their own super cheap versions of Grok-4-fast!
- REDDIT · 2025-09-29 · 40 UPVOTESFiction.liveBench tested DeepSeek 3.2, Qwen-max, grok-4-fast, Nemotron-nano-9b
Fiction.liveBench tested DeepSeek 3.2, Qwen-max, grok-4-fast, Nemotron-nano-9b
- BLOG · 2025-10-13 · 32 UPVOTESNemotron-Personas-India: Synthesized Data for Sovereign AI
Nemotron-Personas-India: Synthesized Data for Sovereign AI
- BLOG · 2025-09-26 · 32 UPVOTESNemotron-Personas-Japan: ソブリン AI のための合成データセット
Nemotron-Personas-Japan: ソブリン AI のための合成データセット
- REDDIT · 2025-12-21 · 29 UPVOTESBenchmark Winners Across 40+ LLM Evaluations: Patterns Without Recommendations
Benchmark Winners Across 40+ LLM Evaluations: Patterns Without Recommendations
- REDDIT · 2025-09-20 · 26 UPVOTESNVIDIA-Nemotron-Nano-9B-v2-GGUF
NVIDIA-Nemotron-Nano-9B-v2-GGUF
- REDDIT · 2025-10-11 · 22 UPVOTES"RLP: Reinforcement as a Pretraining Objective"
"RLP: Reinforcement as a Pretraining Objective"
- LEMMY · 2025-10-02 · 16 UPVOTESIn which ways the dot com craze of the late 90s and the current AI market differ? In which ways are the same phenomena?
In which ways the dot com craze of the late 90s and the current AI market differ? In which ways are the same phenomena?
- REDDIT · 2026-07-01 · 10 UPVOTESComment in r/LocalLLaMA
Comment in r/LocalLLaMA
- REDDIT · 2025-11-27 · 9 UPVOTESSmall LLM (< 4B) for character interpretation / roleplay
Small LLM (< 4B) for character interpretation / roleplay
- REDDIT · 2025-11-27 · 7 UPVOTES[Guide] Running NVIDIA’s new Omni-Embed-3B (Vectorize Text/Image/Audio/Video in the same vector space!)
[Guide] Running NVIDIA’s new Omni-Embed-3B (Vectorize Text/Image/Audio/Video in the same vector space!)
- REDDIT · 2025-10-21 · 7 UPVOTESLlama-Embed-Nemotron-8B Takes the Top Spot on MMTEB Multilingual Retrieval Leaderboard
Llama-Embed-Nemotron-8B Takes the Top Spot on MMTEB Multilingual Retrieval Leaderboard