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Qwen3.5-76B-GGUF
GGUF quantization of the base model.
At a glance
| Base model | — |
| Format | GGUF |
| Total params | 76B |
| Active / token | 10B |
| Experts / layer | — |
| Layers | — |
| Hidden size | — |
| Context | — |
| On-disk size | 46 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 |
EXL3-4bpw | link |
Qwen3.5-76B |
BF16 | link |
Qwen3.5-76B-GGUF (this) |
GGUF | link |
Qwen3.5-88B |
BF16 | link |
Qwen3.5-99B |
BF16 | link |
Qwen3.5-99B-GGUF |
GGUF | link |
Model repository for 0xSero/Qwen3.5-76B-GGUF.
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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