
EverestQ L1
Gold VerifiedPublisher: 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.