I host 25+ free APEX MoE quantizations as independent research. My only local hardware is an NVIDIA DGX Spark (122 GB unified memory), enough for ~30-50B-class MoEs, but bigger ones (200B+) require rented compute on H100/H200/Blackwell, typically $20-100 per quant.
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Holo3-35B-A3B APEX GGUF

APEX (Adaptive Precision for EXpert Models) quantizations of Holo3-35B-A3B.

Brought to you by the LocalAI team | APEX Project | Technical Report

Benchmark Results

Benchmarks coming soon. For reference APEX benchmarks on the same Qwen3.5-MoE architecture, see mudler/Qwen3.5-35B-A3B-APEX-GGUF.

Available Files

File	Profile	Size	Best For
Holo3-35B-A3B-APEX-I-Balanced.gguf	I-Balanced	~24 GB	Best overall quality/size ratio
Holo3-35B-A3B-APEX-I-Quality.gguf	I-Quality	~22 GB	Highest quality with imatrix
Holo3-35B-A3B-APEX-Quality.gguf	Quality	22 GB	Highest quality standard
Holo3-35B-A3B-APEX-Balanced.gguf	Balanced	24 GB	General purpose
Holo3-35B-A3B-APEX-I-Compact.gguf	I-Compact	~17 GB	Consumer GPUs, best quality/size
Holo3-35B-A3B-APEX-Compact.gguf	Compact	17 GB	Consumer GPUs
Holo3-35B-A3B-APEX-I-Mini.gguf	I-Mini	~13 GB	Smallest viable, fastest inference
mmproj.gguf	Vision projector	~858 MB	Required for image understanding

What is APEX?

APEX is a quantization strategy for Mixture-of-Experts (MoE) models. It classifies tensors by role (routed expert, shared expert, attention) and applies a layer-wise precision gradient -- edge layers get higher precision, middle layers get more aggressive compression. I-variants use diverse imatrix calibration (chat, code, reasoning, tool-calling, agentic traces, Wikipedia).

See the APEX project for full details, technical report, and scripts.

Architecture

Model: Holo3-35B-A3B (Qwen3.5-MoE variant, VLM)
Layers: 40 (30 linear attention + 10 full attention)
Experts: 256 routed + 1 shared (8 active per token)
Total Parameters: ~35B
Active Parameters: ~3B per token
Vision: Built-in vision encoder (mmproj included)
APEX Config: 5+5 symmetric edge gradient across 40 layers

Run with LocalAI

local-ai run mudler/Holo3-35B-A3B-APEX-GGUF@Holo3-35B-A3B-APEX-I-Balanced.gguf

Credits

APEX is brought to you by the LocalAI team. Developed through human-driven, AI-assisted research. Built on llama.cpp.