PulseAugur
EN
LIVE 20:10:21

Ranked: LLMs for 10-16GB VRAM evaluated for speed and coherency

By PulseAugur Editorial · [1 sources] ·

A Reddit user has compiled a ranked list of large language models that can be run on consumer hardware with 10-16GB of VRAM. The evaluation focused on speed, coherency, language handling, 'slop patterns' (frequency of descriptive phrases), model architecture (MoE vs. full), censorship levels, and instruction following capabilities. The user noted that larger models (above 200B parameters) are necessary for comprehensive knowledge, particularly in niche media topics, but are generally inaccessible to most users. AI

IMPACT Provides a practical guide for users with limited hardware to select and run capable LLMs.

RANK_REASON User-generated ranking and evaluation of existing models, not a new release or significant industry event.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ranked: LLMs for 10-16GB VRAM evaluated for speed and coherency

How we ranked this

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User-generated ranking and evaluation of existing models, not a new release or significant industry event.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/WEREWOLF_BX13 ·

    Every Model That Can Be Run On 10-16GB VRAM Ranked

    <!-- SC_OFF --><div class="md"><p>It's been 4 years since <a href="http://c.ai">c.ai</a> first hallucination model, and yet, we're nowhere good enough at LLMs in terms of spontaneity/interesting hallucination features. Fortunately, last year brought new architecture that allow th…

RELATED ENTITIES

RELATED TOPICS