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EverestQ

EverestQ L1

Gold Verified
Publisher: EverestQ Engineering · Category: Reasoning
Parameters
70B
Context Window
128K
Default Size
42.5 GB
Downloads
142,500

General-purpose flagship reasoning model with multi-step chain-of-thought execution and 128K context window.

PULL MODEL
eq pull everestq/l1
RUN INFERENCE
eq run everestq/l1 "Explain Paged KV Cache block allocation"
Attention Architecture

Utilizes Grouped-Query Attention (GQA) with 16-token fixed Paged KV Cache block allocation for zero-fragmentation memory residency.

ONNX & EQC Compatible

Compiles directly through the EQC toolchain into standalone .eqx binary packages with fused SwiGLU kernels.

Multi-Hardware Support

Auto-detects CUDA RTX/A100/H100, Apple Silicon Metal Performance Shaders, or AVX-512 CPU execution backends.