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Apertus-8B-Instruct-2509-LOGEQ-FP8_dynamic – AI Model by jgerster0 | AlphaNeural AI
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safetensors
apertus
quantization
llm
swissai
fp8
logarithmic-equalization
swiss-ai/Apertus-8B-Instruct-2509
quantized
compressed-tensors
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Apertus-8B-Instruct-2509-LOGEQ-FP8_dynamic
This model applies
Logarithmic Equalization (LogEQ)
followed by
full FP8 dynamic quantization
using the
LLM Compressor
framework.
What this means in practice
LogEQ smooths and rescales activations using
logarithmic statistics
,
reducing activation outliers before quantization.
Both
weights and activations
are quantized to
FP8 dynamic format
(E5M2 or E4M3 depending on layer type).
The quantized model is compatible with
vLLM FP8 execution
.
data-free activation tracing
.
Quantization Details
Quantization Scheme
: FP8_dynamic
Preprocessing
: LogarithmicEqualizationModifier
Method
: Data-free FP8 dynamic quantization
Targets
: All
Linear
layers
Ignored Layers
:
lm_head
(kept in FP16 for stability)
Tool
: llm-compressor