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KTransformers
STEM & AI Researchers Arena Rank #2

KTransformers

kvcache-ai/ktransformers · Author: @kvcache-ai
Arena ELO
1389
±18
Total Stars
19.6k
+334.9% w/w
Monthly Traffic
380k/mo
0.4x vs median
Search Demand
66,000/mo
+242% YoY

12-Month Adoption & Star Velocity +334.9% w/w

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

KTransformers Category Median
20k 10k 50 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 50 vs 4.4k med This Skill: 50 -4.4k vs Median Dec · 56 vs 5.0k med This Skill: 56 -5.0k vs Median Jan · 101 vs 5.7k med This Skill: 101 -5.6k vs Median Feb · 182 vs 6.5k med This Skill: 182 -6.3k vs Median Mar · 326 vs 7.3k med This Skill: 326 -7.0k vs Median Apr · 585 vs 8.4k med This Skill: 585 -7.8k vs Median May · 1.1k vs 9.5k med This Skill: 1.1k -8.4k vs Median Jun · 1.9k vs 10.8k med This Skill: 1.9k -8.9k vs Median Jul · 3.4k vs 12.3k med This Skill: 3.4k -8.9k vs Median Aug · 6.1k vs 13.9k med This Skill: 6.1k -7.9k vs Median Sep · 10.9k vs 15.8k med This Skill: 10.9k -4.9k vs Median Oct · 19.6k vs 18.0k med This Skill: 19.6k +1.6k vs Median
GROWTH VELOCITY
+334.9%
4.4x vs category median
ARENA ELO SCORE
1389
+197 vs category median
WEB VISITS MOMENTUM
380k/mo
0.4x category median
LATENCY EFFICIENCY
15ms
2.5x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, KTransformers holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +334.9% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose KTransformers

Flexible framework for ultra-low-cost, high-speed LLM inference offloading MoE weights to CPU RAM.

Verified Real-World Production Workflow

Primary Implementation:

Run DeepSeek-V2/V3 236B MoE models on a single 24GB RTX 4090 GPU combined with standard DDR5 system RAM.

Engine Stack & Dependencies:

C++, CUDA, CPU NUMA offloading, Custom AMX/AVX512 kernels.

Target Persona & Role Fit

Kernel Heterogeneous Memory Architects

Engineered and benchmarked specifically for Kernel Heterogeneous Memory Architects demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/kvcache-ai/ktransformers

Technical Specification (ASD-STE100)

Flexible framework for ultra-low-cost, high-speed LLM inference offloading MoE weights to CPU RAM.
Architecture: C++, CUDA, CPU NUMA offloading, Custom AMX/AVX512 kernels.

Domain Tags & Keywords

#moe-offloading#deepseek-local#hybrid-memory#ktransformers

Compute Efficiency Profile

P95 EXECUTION LATENCY
15ms
2.5x faster than median
TOKEN EFFICIENCY SAVINGS
-96%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
95%
Arena paired matches
Monthly Documentation & Site Visits
380k/mo
Measured via Traffic Research bypass engine (0.4x category median)
Google Search Keyword Demand
66,000/mo
+242% YoY expansion

6-Month Web Traffic Velocity

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

KTransformers Median
850k 454k 57k MayJunJulAugSepOct May · 57.0k vs 680.0k med This Skill: 57.0k -623.0k vs Median Jun · 57.0k vs 714.0k med This Skill: 57.0k -657.0k vs Median Jul · 57.0k vs 748.0k med This Skill: 57.0k -691.0k vs Median Aug · 104.1k vs 782.0k med This Skill: 104.1k -677.9k vs Median Sep · 242.1k vs 816.0k med This Skill: 242.1k -573.9k vs Median Oct · 380.0k vs 850.0k med This Skill: 380.0k -470.0k 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.

1389
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.4k vs 1.2k med This Skill: 1.4k +172 vs Median Jun · 1.4k vs 1.2k med This Skill: 1.4k +178 vs Median Jul · 1.4k vs 1.2k med This Skill: 1.4k +192 vs Median Aug · 1.4k vs 1.2k med This Skill: 1.4k +203 vs Median Sep · 1.4k vs 1.2k med This Skill: 1.4k +202 vs Median Oct · 1.4k vs 1.2k med This Skill: 1.4k +191 vs Median
WIN RATE
95%
Head-to-head
WEEKLY SURGE
+334.9%
Adoption velocity
P95 LATENCY
15ms
Execution speed
TOKEN OVERHEAD
-96%
Context saved

Head-to-Head Comparison — KTransformers 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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