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TinyLLama
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by Maykeye
OPEN WEIGHTSLOCAL
RANKED #211 OF 316 ASSISTANTS · OVERALL #319 OF 493 RANKED · VIBE SCORE 5.7 · 471 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
tinyllama-chat-bnb-4bit on Hugging Face (text generation). 2,276 downloads. Open weights for local or hosted use.
HAPPY8.2
14 mentions
SAD6.8
18 mentions
VIBE TRAJECTORY
26 weeks · 375 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
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 TinyLLama once and it's yours. No subscription, no rate limits, works offline.
1.1B parameters, a Q4 file is about 670 MB
- BARE MINIMUM
Raspberry Pi 5 (4GB RAM)
4 GB RAM
~$60 NEWQ4_K_M, ~15 tok/s, 2k context
- SWEET SPOT
Apple Mac mini M2 (8GB RAM)
8 GB UNIFIED MEMORY
~$450 USEDQ8_0, ~65 tok/s, 2k context
- FULL POWER
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$250 USEDFP16 unquantized, ~120 tok/s, 2k context
LEARN HOW TO SET IT UP
WILL MY BOX RUN TINYLLAMA?
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 TinyLLama takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMRaspberry Pi 5 (4GB RAM) | SWEET SPOTApple Mac mini M2 (8GB RAM) | FULL POWERNvidia GeForce RTX 3060 12GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~33 S★★★★★ | ~8 S★★★★★ | ~4 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~1.7 MIN★★★★★ | ~23 S★★★★★ | ~13 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~8.9 MIN★★★★★ | ~2.1 MIN★★★★★ | ~67 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~28 MIN★★★★★ | ~6.4 MIN★★★★★ | ~3.5 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~17 MIN★★★★★ | ~3.8 MIN★★★★★ | ~2.1 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 TinyLLama yet to call it. We found 471 posts but people did not say much either way.
148 POSTS · 323 COMMENTS · GITHUB · REDDIT · DEV FORUMS
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
Muse Spark 1.3
DeepSeek V4 Flash> SOURCES (12)
- REDDIT · 2024-04-12 · 98 UPVOTESTinyLlama + SDXS = real time kid story, uncut, all running local on single RPI-CM4.
TinyLlama + SDXS = real time kid story, uncut, all running local on single RPI-CM4.
- REDDIT · 2026-02-17 · 64 UPVOTESMy experience with running small scale open source models on my own PC.
My experience with running small scale open source models on my own PC.
- REDDIT · 2026-07-16 · 42 UPVOTESPicking a model that actually fits your RAM: a plain-English rule of thumb + the 3 gotchas that caught me out
Picking a model that actually fits your RAM: a plain-English rule of thumb + the 3 gotchas that caught me out
- REDDIT · 2024-11-03 · 38 UPVOTESPost your model - what do you have and use
Post your model - what do you have and use
- REDDIT · 2025-08-11 · 28 UPVOTES[P] VulkanIlm: Accelerating Local LLM Inference on Older GPUs Using Vulkan (Non-CUDA) — Benchmarks Included
[P] VulkanIlm: Accelerating Local LLM Inference on Older GPUs Using Vulkan (Non-CUDA) — Benchmarks Included
- REDDIT · 2023-12-22 · 20 UPVOTESThis Week's Major AI developments in a nutshell (December Week 3, 2023)
This Week's Major AI developments in a nutshell (December Week 3, 2023)
- REDDIT · 2025-02-14 · 18 UPVOTESHow to do proper function calling on Ollama models
How to do proper function calling on Ollama models
- REDDIT · 2024-01-09 · 17 UPVOTESIs There A Parameter Floor For Understanding?: LiteLlama vs TinyLlama The Perfect Test
Is There A Parameter Floor For Understanding?: LiteLlama vs TinyLlama The Perfect Test
- REDDIT · 2025-05-12 · 13 UPVOTESlooking for offline LLMs i can train with PDFs and will run on old laptop with no GPU, and <4 GB ram
looking for offline LLMs i can train with PDFs and will run on old laptop with no GPU, and <4 GB ram
- REDDIT · 2024-02-29 · 5 UPVOTESOllama GPU Support
Ollama GPU Support
- REDDIT · 2025-05-11 · 5 UPVOTESI am getting absolute nonsense answers from tinyllama:1.1b LLM, how to fix?
I am getting absolute nonsense answers from tinyllama:1.1b LLM, how to fix?
- REDDIT · 2024-01-27 · 1 UPVOTESIf You Do Not Believe In LLM Emergence Just Play With These Two LLM Models (Brain Dead Easy Real World Experiment)
If You Do Not Believe In LLM Emergence Just Play With These Two LLM Models (Brain Dead Easy Real World Experiment)