Draw 2 in the fog

QATRIX INFOTECH • IN ACTIVE DEVELOPMENT • PRIVATE RESEARCH PREVIEW
CELLA 2

HELIUM

Lightweight intelligence. Rising beyond the ordinary.

Cella 2 Helium is an upcoming proprietary AI model currently being built by Qatrix Infotech. Engineered for efficient, ultra-fast and accessible intelligence.

STATUS
In Active Dev
Currently Being Built
SCALE (TARGET)
2.4B Parameters
High Density Architecture
CONTEXT
32K Window
Sliding Gaseous Memory
ACCESS
Proprietary
Closed Source • Waitlist
SCROLL TO EXPAND CHAMBER
SPECIFICATION CHAMBER

THE HELIUM CORE

Engineered from molecular principles of computational efficiency. Every specification floats within a transparent liquid glass ecosystem.

PARAMETERS (TARGET)In Training
2.4B
Synthesized Weights

High-density proprietary parameter matrix being distilled for maximum computational density per FLOP on consumer GPUs and Apple Silicon.

2.4 Billion Target Scale
FP8 / INT4 Calibration Underway
1.85 GB VRAM Target Footprint
CONTEXTGaseous Memory
32,768
Tokens Window

Extended context horizon featuring sliding-window attention and compressed rotary positional embeddings for uninterrupted multi-turn dialogue.

32K Native Sequence Length
Compressed KV Cache
Near-Zero Attention Drift
VISIONNative Cross-Attn
Multimodal
Vision-Language

Built-in visual perceptual adapter transforming 1024×1024 pixel patches directly into the helium latent stream without heavy separate encoders.

High-Res Image Ingestion
Spatial Document Parsing
Zero-Latency Visual Tokenizer
INFERENCE (GOAL)Ultra-Low Latency
< 15ms
Time-to-First-Token

Near-zero start friction with streaming generation targeting up to 148 tokens per second on consumer edge hardware.

Sub-15ms Edge Kickoff Goal
148+ tok/s Target Generation
Zero Cloud Cold-Starts
ARCHITECTUREProprietary
Helium Hybrid
Sparse Attention

Dynamic sparse-attention neural topology allowing information to flow with gaseous frictionlessness while maintaining frontier reasoning fidelity.

Linear-Time Complexity Blocks
Rotary Embeddings (RoPE)
Speculative Decoding Support
ACCESS & STATUSPrivate Preview
Proprietary
Closed Source

Proprietary AI model currently in active development by Qatrix Infotech. Not open source; access will be provided via private developer waitlist and managed runtimes.

Proprietary Qatrix Architecture
Not Open Source / Closed
Private Beta Waitlist
PROPRIETARY TOPOLOGY • IN DEVELOPMENT

HELIUM ARCHITECTURE

The proprietary neural architecture currently being synthesized by Qatrix Infotech. Designed around molecular thermodynamics so tokens flow continuously across liquid glass nodes suspended in helium.

Stage 01

INPUT

Token Ingestion

Accepts multi-modal inputs: text tokens, code characters, and 1024×1024 vision patches. Encoded into dense helium latent vectors.

LATENCY0.8ms
Stage 02

UNDERSTANDING

Latent Compression

Processes semantic context with dynamic sparse attention, filtering redundant tokens through gaseous attention masks.

LATENCY4.2ms
Stage 03

REASONING

Gaseous Deduction

Executes multi-step algorithmic deduction and symbolic reasoning. Dynamic speculative routing skips inactive feed-forward parameters.

LATENCY5.6ms
Stage 04

OUTPUT

Frictionless Generation

Streams output tokens with sub-15ms time-to-first-token. Entropy-guided sampling produces precise code, structured JSON, or natural responses.

LATENCY< 15ms TTFT
DEEP LAYER INSPECTION • Stage 01

INPUT(Token Ingestion)

latency0.8ms
throughput128K Vocab
formatTensor Stream

Accepts multi-modal inputs: text tokens, code characters, and 1024×1024 vision patches. Encoded into dense helium latent vectors.

Internal Sub-Layers & Modules:
▹BPE Byte-Level Tokenizer
▹Rotary Positional Embeddings (RoPE)
▹Vision Patch Projector
TARGET CAPABILITIES • IN ACTIVE CALIBRATION

MODEL CAPABILITIES

Four core dimensions of proprietary intelligence currently being trained, aligned, and calibrated by Qatrix Infotech. Each operates with a distinct physical gaseous behavior.

BEHAVIOR: LAMINAR FLOWSLOW FLOWING

UNDERSTAND

Language Understanding & Semantic Depth

Gently parses intricate nuances, cultural contexts, and dense long-form technical literature. Processes semantics with uninterrupted, laminar laminar particle calm.

Particle Velocity: 0.25 px/frame (Equilibrium)
32+ LanguagesDocument ExtractionZero-Shot Summaries
BEHAVIOR: VAPOR SCANSCANNING PARTICLES

SEE

Vision Capabilities & Spatial Perception

Sweeping gas particles illuminate high-resolution visual inputs. Performs chart parsing, spatial grounding, OCR extraction, and multi-image relational reasoning.

Vapor Laser Sweep: 1024×1024 Resolution
Chart & UI IngestionDocument OCRVisual Anomaly Spotting
BEHAVIOR: HYPER-JETSFAST PARTICLE STREAMS

CODE

Programming & Algorithmic Synthesis

High-velocity directional particle streams shoot upwards during code generation. Writes clean Python, TypeScript, Rust, and refactors complex codebases with surgical precision.

Stream Velocity: 3.8 px/frame (Hyper-Acceleration)
Full-Stack SynthesisUnit Test GenerationAlgorithmic Logic
BEHAVIOR: VORTEX ORBITORBITING PARTICLES

REASON

Reasoning & Problem Solving

Particles orbit gravitationally around the card, reflecting multi-pass self-verification, mathematical deduction, and formal logic reasoning without parameter hallucination.

Vortex Trajectory: 32 Elliptical Orbit Paths
Formal Logic DeductionsMulti-Step ArithmeticSelf-Reflective Checking
TARGET BENCHMARKS • IN TRAINING

PROJECTED BENCHMARKS

Target performance thresholds currently being calibrated during active pre-training and distillation cycles at Qatrix Infotech. Numbers reflect planned model milestones.

MMLU-Pro (Reasoning)[Benchmark Score: 68.4%]

Massive multi-task language comprehension evaluated across STEM, law, and medicine.

Baseline: 54.2% (Standard 3B)+14.2%
GSM8K (Grade School Math)[Benchmark Score: 81.2%]

Multi-step algorithmic and arithmetic deduction with chain-of-thought verification.

Baseline: 65.0% (Standard 3B)+16.2%
HumanEval (Python Code)[Benchmark Score: 74.6%]

Zero-shot function implementation passing all strict unit tests on first pass.

Baseline: 58.1% (Standard 3B)+16.5%
Time-to-First-Token (TTFT)[Latency: 12.4ms]

Measured cold-start token output latency from initial prompt submission.

Baseline: 58ms (Cloud API)4.7× Faster
Inference Throughput[Speed: 148 tok/s]

Sustained generation throughput on consumer edge silicon (INT4 / FP8 quantized).

Baseline: 42 tok/s (Legacy)3.5× Faster
Memory Footprint (VRAM)[Footprint: 1.85 GB]

Total unified memory required to host full model weights and KV cache at runtime.

Baseline: 6.2 GB (Uncompressed)70% Lighter
4.8×
Faster TTFT
Instantaneous edge prompt takeoff
62%
Memory Reduction
Fits on 8GB laptops with zero swap
Zero
Cloud Overhead
100% private offline computation
ACCESS ROADMAP • NOT YET RELEASED

ACCESS MODALITIES

Cella 2 Helium is currently being built by Qatrix Infotech. It is a proprietary model (closed source) and not yet publicly ready. Register your interest for private preview access.

PRIVATE CLOUD APIPrivate Waitlist

Dedicated Managed Endpoints

Low-latency proprietary inference API hosted on Qatrix sovereign clusters. Guaranteed SLAs, streaming response, and token metering.

Managed Cloud Clusters • Sovereign Hosting
Proprietary ChannelREQUEST API KEY ↗
ENTERPRISE APPLIANCEProprietary

Air-Gapped On-Premises Runtime

Proprietary containerized runtime for enterprise clusters requiring isolated on-prem deployment with zero external telemetry leakage.

Air-Gapped Hardware • Encrypted Weights
Proprietary ChannelCONTACT ENTERPRISE ↗
RESEARCH PARTNERSBy Invitation

Academic Evaluation Access

Selective institutional preview program for AI laboratories exploring gaseous attention dynamics and thermodynamic FLOP efficiency.

Academic Labs • Institutional Grants
Proprietary ChannelAPPLY FOR ACCESS ↗
DEVELOPER SANDBOXIn Active Dev

Early Access Simulation

Be among the first developers to test pre-release API tokens and private SDK builds as training checkpoints complete calibration.

Private Developer Portal • Pre-Release SDK
Proprietary ChannelJOIN WAITLIST ↗
DEVELOPMENT ROADMAP • ACTIVE PROGRESSION

DEVELOPMENT JOURNEY

The engineering progression of Cella 2 Helium. Currently in active pre-training at Qatrix Infotech, moving towards proprietary private deployment.

PHASE 01 • Thermodynamics of FLOPs

CONCEPT

Theoretical Proof-of-Concept

Investigating molecular helium physics to eliminate computational parameter friction. Formulating zero-overhead latent routing.

HEAVYWEIGHT PARAMETER COMPRESSION COMPLETE
ECOSYSTEM LINEAGE

THE CELLA FAMILY

A cohesive lineage of neural architectures engineered by Qatrix Infotech. Each model is suspended inside the same helium environment.

IN ACTIVE DEVELOPMENT2.4B

CELLA 2 HELIUM

Lightweight Edge Flagship

Sub-15ms latency, buoyant efficiency, zero cloud dependency.

▹2.4B Target Parameters
▹32K Gaseous Context
▹1.85 GB VRAM
▹Proprietary / Closed Source
★ FEATURED MODEL ON THIS PAGE
PLANNED ROADMAP8B

CELLA 2 STANDARD

Balanced Multimodal Workhorse

Expanded reasoning capacity for full-stack engineering and visual document parsing.

▹8.2B Dense Architecture
▹64K Native Context
▹Native High-Res Vision
▹Proprietary Commercial
RESEARCH STAGE32B

CELLA 2 PRO

Frontier Reasoning Core

High-parameter deep chain-of-thought, symbolic mathematics, and formal proof synthesis.

▹32B Mixture Architecture
▹128K Horizon
▹Expert Token Routing
▹Proprietary Frontier
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Dedicated to pushing frontier computational efficiency, proprietary neural architecture research, and frictionless human-machine intelligence.

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