Rust TUI · llama.cpp operations
by Inoyu

Run local LLMs
professionally.

For Engineers
For CFOs
For Legal

Hardware-aware config, real-time telemetry, and financial intelligence — all in one 12 MB Rust binary that replaces scattered shell commands and quarterly cloud guesswork.

Install llamamonView on GitHub
626
Passing tests
12 MB
Release binary
34+
Config fields
3
Platforms
llamamon · interactive TUI
LIVE
llamamon v0.1.0q quittab switch↑↓ nav
cost: $0.0034/hr
Tests626
Binary~12 MB
Config fields34+
Why llamamon

12 MB binary. Zero overhead.

Ollama and LM Studio consume 1.2 GB+ of RAM before your model loads. llamamon is a 12 MB Rust binary — 99% of hardware goes to inference, not the monitor.

Profitability, not just telemetry.

nvidia-smi shows temperature. llamamon translates 88 tok/s into '$12,450 saved this month vs GPT-4o' — factoring in electricity, amortization, and cloud price comparison.

Compliance intelligence from session one.

Measured sessions can feed ESG carbon reporting, license risk classification, and security sentry workflows — the stack legal and finance teams need as deployments scale.

How it works
🔧
Before: Scattered Tools
5 terminal windows + manual cost calculation + quarterly cloud bills
After: Unified Interface
One TUI with live ROI and compliance reports
💰
Before: Educated Guesses
“Is local cheaper than OpenAI?” (rough estimates)
After: Real-time Data
Cloud arbitrage with breakeven calculations
📊
Before: Generic Monitoring
Datadog/Prometheus + manual log analysis
After: LLM-Native
Telemetry with business context
How it works

From bare metal to measured session.

llamamon follows the real inference workflow — detect first, tune as you go, report at the end.

01
Detect hardware
RAM, GPU, VRAM, CPU cores auto-discovered on first launch.
02
Open config screen
5-tab UI with 34+ editable fields, hardware-aware defaults pre-filled.
03
Pick a model
TOML-based model list with estimated VRAM per context size.
04
Launch server
Spawns llama-server with the right flags — no shell copy-paste.
05
Monitor live
Process logs, GPU stats, throughput, cost, and energy in one surface.
06
Export metrics
Turn measured sessions into cost, ESG, and compliance reports.
See it in action

The real TUI, uncut.

llamamon · adaptive layoutRESIZE DEMO

Terminal layout adapts fluidly as you resize — panels reflow without breaking the monitoring surface.

llamamon · model running
llamamon · startup & shutdown
Financial intelligence

The question every CFO asks.

“Is our $30k GPU actually cheaper than OpenAI?” llamamon answers it in real time — with electricity, amortization, and 50+ cloud prices factored in.

llamamon pro · cloud arbitrage index
Professional
Cost per 1M tokens — live comparison
Anthropic Claude Opus
$18.00
OpenAI GPT-4o
$12.50
Groq Llama3-70B
$1.38
Local · Llama-3.1-70B
$0.02
Saved vs GPT-4o
$12.48 / 1M tok
Today's net savings
$142.50
Breakeven horizon
2.5M tok / mo

Cloud arbitrage and ROI engine are Professional tier features.

See editions →
Leaderboard vision

Ranks more than raw speed.

Three parallel lanes for operators, procurement, and legal — all sourced from the same measured local session.

Operator leaderboard

Real hardware · measured runs

Rank practical local runs by throughput, TTFT, stability, watt efficiency, and session reproducibility.

ThroughputTTFTVRAM efficiencyReproducibility

Procurement leaderboard

Cost-per-token · cloud arbitrage

Surface cost per 1M tokens, cloud price comparison, amortization-aware TCO, and payback estimates.

TCO-readyROI modelBreakeven horizon

Legal leaderboard

Enterprise trust · license class

Show license class, commercial safety, attribution flags, checksum verification, and security posture.

License classSHA verifiedCommercial-safe
Why not the alternatives

Built for a different job.

Most tools show temperature. llamamon shows profitability. That distinction matters the moment your CFO asks if local inference is actually cheaper.

vs Ollama · LM Studio
Their gap

1.2 GB+ of Electron consuming VRAM your model needs

llamamon fills it

12 MB Rust binary — 99% of hardware goes to inference, not the monitor

vs nvidia-smi
Their gap

Temperature and utilization with zero business context

llamamon fills it

Translates 88 tok/s into '$12,450 saved vs GPT-4o this month'

vs Datadog · Prometheus
Their gap

LLM-unaware, weeks of setup, $25+/host/month, no token economics

llamamon fills it

LLM-native in 5 minutes — understands cost-per-token, not just CPU%

Why Local LLMs?

Why now? Why local? Why LlamaMon?

📈
60% Cost Reduction
Average savings vs cloud API providers
🔒
Data Privacy & Security
Keep sensitive data on-premise, avoid cloud API risks
🛡️
Built-in Compliance
ESG reporting and security monitoring
⚡
Professional Operations
Without the complexity of enterprise tools
Trusted by
“Replaced 3 monitoring tools with one interface that understands LLMs”
DevOps Engineer
Enterprise Tech Company
“Finally have the data to justify local LLM infrastructure”
CFO
AI Startup
“ESG reporting that actually works out of the box”
Compliance Officer
Financial Services
“Built entirely with local AI — Qwen 3.5 30B models on RTX 3090”
LlamaMon Core
100% Local Development
Quick start

Run in minutes from signed binaries.

Use the official installer script. It detects platform, installs safely, and keeps upgrade/uninstall behavior consistent.

Full install guideRead the docs
$ curl -fsSL https://llamamon.com/install.sh | sh
$ llamamon --help
$ # upgrade later
$ curl -fsSL https://llamamon.com/install.sh | sh