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ExLlamaV2
STEM Arena Rank #108

ExLlamaV2

turboderp/exllamav2 · Author: @turboderp
Arena ELO
1330
±20
Total Stars
4.6k
+12.5% w/w
Monthly Traffic
310,000/mo
0.4x vs median
Search Demand
62,000/mo
+140% YoY

12-Month Adoption & Star Velocity +12.5% w/w

Empirical star trajectory for ExLlamaV2 vs Category Median benchmark. Hover along points to inspect exact monthly stats.

ExLlamaV2 Category Median
18k 9k 162 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 162 vs 4.4k med This Skill: 162 -4.2k vs Median Dec · 220 vs 5.0k med This Skill: 220 -4.8k vs Median Jan · 298 vs 5.7k med This Skill: 298 -5.4k vs Median Feb · 404 vs 6.5k med This Skill: 404 -6.1k vs Median Mar · 549 vs 7.3k med This Skill: 549 -6.8k vs Median Apr · 744 vs 8.4k med This Skill: 744 -7.6k vs Median May · 1.0k vs 9.5k med This Skill: 1.0k -8.5k vs Median Jun · 1.4k vs 10.8k med This Skill: 1.4k -9.4k vs Median Jul · 1.9k vs 12.3k med This Skill: 1.9k -10.4k vs Median Aug · 2.5k vs 13.9k med This Skill: 2.5k -11.4k vs Median Sep · 3.4k vs 15.8k med This Skill: 3.4k -12.4k vs Median Oct · 4.6k vs 18.0k med This Skill: 4.6k -13.4k vs Median
GROWTH VELOCITY
+12.5%
2.3x vs category median
ARENA ELO SCORE
1330
+138 vs category median
WEB VISITS MOMENTUM
310,000/mo
0.4x category median
LATENCY EFFICIENCY
25ms
1.5x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, ExLlamaV2 holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +12.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose ExLlamaV2

High-performance verified open-source agentic tool ExLlamaV2 powering production AI workloads.

Verified Real-World Production Workflow

Primary Implementation:

Integrate ExLlamaV2 into agentic loops for verified deterministic execution and token efficiency.

Engine Stack & Dependencies:

Modern open-source stack, MIT/Apache 2.0 license.

Target Persona & Role Fit

Inference Engineers

Engineered and benchmarked specifically for Inference Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/turboderp/exllamav2

Technical Specification (ASD-STE100)

High-performance verified open-source agentic tool ExLlamaV2 powering production AI workloads.
Architecture: Modern open-source stack, MIT/Apache 2.0 license.

Domain Tags & Keywords

#open-source#agentic#tool#benchmark

Compute Efficiency Profile

P95 EXECUTION LATENCY
25ms
1.5x faster than median
TOKEN EFFICIENCY SAVINGS
-90%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
85%
Arena paired matches
Monthly Documentation & Site Visits
310,000/mo
Measured via Traffic Research bypass engine (0.4x category median)
Google Search Keyword Demand
62,000/mo
+140% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

ExLlamaV2 Median
850k 448k 47k MayJunJulAugSepOct May · 46.5k vs 680.0k med This Skill: 46.5k -633.5k vs Median Jun · 77.5k vs 714.0k med This Skill: 77.5k -636.5k vs Median Jul · 135.6k vs 748.0k med This Skill: 135.6k -612.4k vs Median Aug · 193.8k vs 782.0k med This Skill: 193.8k -588.3k vs Median Sep · 251.9k vs 816.0k med This Skill: 251.9k -564.1k vs Median Oct · 310.0k vs 850.0k med This Skill: 310.0k -540.0k vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1330
±20 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +113 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +119 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +133 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +144 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +143 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +132 vs Median
WIN RATE
85%
Head-to-head
WEEKLY SURGE
+12.5%
Adoption velocity
P95 LATENCY
25ms
Execution speed
TOKEN OVERHEAD
-90%
Context saved

Head-to-Head Comparison — ExLlamaV2 vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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