LOADING DATASHEET
LOADING DATASHEET
by Meta
RANKED #223 OF 228 ASSISTANTS · OVERALL #339 OF 6,618 · VIBE SCORE 4.9 · 76 VOICES
Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...
4 mentions
12 mentions
26 weeks · 79 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Llama 3.1 8B Instruct once and it's yours. No subscription, no rate limits, works offline.
8B parameters, an FP16 file is about 16 GB and a standard Q4 quant is about 4.7 GB
Nvidia GeForce GTX 1660 Super 6GB
6 GB VRAM
~$110 USEDQ4_K_M quantized model fitting comfortably with short context, offloading partially or using low context buffer
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$250 USEDQ8_0 or Q4_K_M fully in VRAM with large context window up to 32k tokens
Nvidia GeForce RTX 4070 Ti Super 16GB
16 GB VRAM
~$780 NEWFull FP16 precision or Q8 with maximum native 128k context window at peak speeds
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.
Everyday jobs on each of those rigs: how long Llama 3.1 8B Instruct takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GeForce GTX 1660 Super 6GB | SWEET SPOTNvidia GeForce RTX 3060 12GB | FULL POWERNvidia GeForce RTX 4070 Ti Super 16GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~28 S | ~11 S | ~6 S |
| Summarize a documenta long report boiled down to the points that matter | ~83 S★★★★★ | ~33 S★★★★★ | ~18 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~7.4 MIN★★★★★ | ~3 MIN★★★★★ | ~1.6 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~23 MIN★★★★★ | ~9.3 MIN★★★★★ | ~4.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~14 MIN★★★★★ | ~5.6 MIN★★★★★ | ~2.9 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.
Not enough discussion about Llama 3.1 8B Instruct yet to call it. We found 76 posts but people did not say much either way.
70 POSTS · 6 COMMENTS · REDDIT · STACK OVERFLOW · GITHUB · DEV.TO · DEV FORUMS · LEMMY
Other models the crowd has fully reviewed, starting with text models like this one.
HiDream-I1 Comparison of 3885 Artists
HiDream Uncensored LLM - here's what you need (ComfyUI)
Switched from Llama 3.1 to Mistral—Huge Upgrade!
LLaMA-Omni: a new model for speech interaction (based on Llama 3.1 8B Instruct)
Simple RAG + Web Search + PDF Chat
HiDream I1 Portraits - Dev vs Full Comparisson - Can you tell the difference?
HiDream. Nemotron, Flan and Resolution
mistral-nemo:12b-instruct-2407-fp16 beats Llama 3.1 8b-instruct-fp16 any day.
ggml-zendnn : add Q8_0 quantization support by z-sachin · Pull Request #23414 · ggml-org/llama.cpp
Is “Llama 3.1 8b-instruct-fp16” the best 8b model?
How can I run Llama 3.1 8b-instruct locally on my iPhone 15?
Scaling does not fix this: instruction-following degrades 5-13% under hostile user prompts at every size from 0.6B to 123B [R]