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Llama 3.2 3B Instruct
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by Meta
OPEN WEIGHTSLOCALAPIPAID
RANKED #215 OF 316 ASSISTANTS · OVERALL #327 OF 493 RANKED · VIBE SCORE 5.7 · 94 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it.
HAPPY9.2
14 mentions
SAD5.8
11 mentions
VIBE TRAJECTORY
26 weeks · 93 voices in this window
HONEYMOON FADING
Early praise is cooling off in recent weeks.
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 Llama 3.2 3B Instruct once and it's yours. No subscription, no rate limits, works offline.
3.21B parameters, a Q4_K_M file is about 2.0 GB (unquantized FP16 is ~6.5 GB)
- BARE MINIMUM
Used Intel Core i5 or AMD Ryzen 5 PC / Laptop
8 GB RAM
~$150 USEDQ4_K_M on CPU, ~10 tok/s, 8k context
- SWEET SPOT
NVIDIA GeForce GTX 1660 Super 6GB
6 GB VRAM
~$110 USEDQ8_0 or FP16 fully offloaded to VRAM, ~55 tok/s, 16k context
- FULL POWER
NVIDIA GeForce RTX 4060 8GB
8 GB VRAM
~$299 NEWFull precision FP16, ~110 tok/s, full 128k context support
LEARN HOW TO SET IT UP
WILL MY BOX RUN LLAMA 3.2 3B INSTRUCT?
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 Llama 3.2 3B Instruct takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMUsed Intel Core i5 or AMD Ryzen 5 PC / Laptop | SWEET SPOTNVIDIA GeForce GTX 1660 Super 6GB | FULL POWERNVIDIA GeForce RTX 4060 8GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~50 S★★★★★ | ~9 S★★★★★ | ~5 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~2.5 MIN★★★★★ | ~27 S★★★★★ | ~14 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~13 MIN★★★★★ | ~2.4 MIN★★★★★ | ~73 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~42 MIN★★★★★ | ~7.6 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~25 MIN★★★★★ | ~4.5 MIN★★★★★ | ~2.3 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
People are mostly frustrated with Llama 3.2 3B Instruct right now.
87 POSTS · 7 COMMENTS · GITHUB · LEMMY · REDDIT · STACK OVERFLOW
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- Outages, errors, or limits get in the way (6 mentions)
TOPIC BY TOPIC
- Working when you need itA SORE SPOT
0 thumbs up · 6 thumbs down
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
DeepSeek V4 Flash> SOURCES (12)
- REDDIT · 2025-11-03 · 46 UPVOTESWe trained SLM-powered assistants for personal expenses summaries that you can run locally via Ollama.
We trained SLM-powered assistants for personal expenses summaries that you can run locally via Ollama.
- REDDIT · 2025-12-16 · 27 UPVOTES“We decided to move forward with other candidates.” Cool. But why though?
“We decided to move forward with other candidates.” Cool. But why though?
- REDDIT · 2025-10-15 · 17 UPVOTESWhich Format is Best for Passing Nested Data to LLMs?
Which Format is Best for Passing Nested Data to LLMs?
- REDDIT · 2024-11-10 · 13 UPVOTESFully local Gmail assistant with llama 3.2
Fully local Gmail assistant with llama 3.2
- REDDIT · 2025-12-01 · 12 UPVOTESWe built a 1 and 3B local Git agents that turns plain English into correct git commands. They matche GPT-OSS 120B accuracy (gitara)
We built a 1 and 3B local Git agents that turns plain English into correct git commands. They matche GPT-OSS 120B accuracy (gitara)
- REDDIT · 2025-06-09 · 5 UPVOTESRepetition!
Repetition!
- REDDIT · 2024-12-13 · 4 UPVOTESFinetuned model's perform poorer than the base model
Finetuned model's perform poorer than the base model
- REDDIT · 2025-02-21 · 4 UPVOTESComment in r/StableDiffusion
Comment in r/StableDiffusion
- REDDIT · 2025-06-26 · 3 UPVOTESModel performance
Model performance
- REDDIT · 2025-02-04 · 1 UPVOTESBest cheap LLM APIs for "roleplay" conversation?
Best cheap LLM APIs for "roleplay" conversation?
- GITHUB · 2026-09-14 · 0 UPVOTESInvestigation: Small models fitting ~12GB RAM - Llama 4 Scout candidates
Investigation: Small models fitting ~12GB RAM - Llama 4 Scout candidates
- REDDIT · 2026-04-18 · 0 UPVOTESWe caught cloud providers silently hot-swapping LLMs (Bait-and-Switch) using a cryptographic memory DAG.
We caught cloud providers silently hot-swapping LLMs (Bait-and-Switch) using a cryptographic memory DAG.