REAP-pruned & quantized Qwen3.5 / 3.6 / Coder variants. • 15 items • Updated
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Qwen3.5-35B-EXL3-4bpw
EXL3-4bpw quantization of Qwen/Qwen3.5-35B-A3B-Base.
At a glance
| Base model | Qwen/Qwen3.5-35B-A3B-Base |
| Format | EXL3-4bpw |
| Total params | 35B |
| Active / token | 3B |
| Experts / layer | — |
| Layers | — |
| Hidden size | — |
| Context | — |
| On-disk size | 21 GB |
Which variant should I pick?
| Variant | Format | Link |
|---|---|---|
Qwen3.5-264B |
BF16 | link |
Qwen3.5-264B-FP8 |
FP8 | link |
Qwen3.5-264B-W4A16 |
W4A16 | link |
Qwen3.5-28B |
BF16 | link |
Qwen3.5-35B-EXL3-4bpw (this) |
EXL3-4bpw | link |
Qwen3.5-76B |
BF16 | link |
Qwen3.5-76B-GGUF |
GGUF | link |
Qwen3.5-88B |
BF16 | link |
Qwen3.5-99B |
BF16 | link |
Qwen3.5-99B-GGUF |
GGUF | link |
The full base-model documentation lives upstream; this card covers only the EXL3-4bpw build.
See the base model for architecture, benchmarks, and general usage.
License & citation
License inherited from the base model.
@misc{lasby2025reap,
title = {REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression},
author = {Mike Lasby and Ivan Lazarevich and Nish Sinnadurai and Sean Lie and Yani Ioannou and Vithursan Thangarasa},
year = {2025}, eprint = {2510.13999}, archivePrefix = {arXiv}
}
Sponsors
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Safetensors
Model size
11B params
Tensor type
F32
·
F16 ·
I16 ·
BF16 ·
Model tree for 0xSero/Qwen3.5-35B-EXL3-4bpw
Base model
Qwen/Qwen3.5-35B-A3B-Base