Qwen3.5-27B-GGUF
2.1K
7
ik_llama.cpp
by
ubergarm
Language Model
OTHER
27B params
New
2K downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
61GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
26GB+ RAM
Code Examples
64 Repeating Layers [0-63]bash
#!/usr/bin/env bash
custom="
# 64 Repeating Layers [0-63]
## Gated Attention/Delta Net [Blended 0-63]
blk\..*\.attn_gate\.weight=q6_0
blk\..*\.attn_qkv\.weight=q6_0
blk\..*\.attn_output\.weight=q6_0
blk\..*\.attn_q\.weight=q6_0
blk\..*\.attn_k\.weight=q6_0
blk\..*\.attn_v\.weight=q6_0
blk\..*\.ssm_alpha\.weight=q8_0
blk\..*\.ssm_beta\.weight=q8_0
blk\..*\.ssm_out\.weight=q8_0
# Dense Layers [0-63]
blk\.[0-4]\.ffn_down_exps\.weight=q6_0
blk\..*\.ffn_down\.weight=iq5_ks
blk\..*\.ffn_(gate|up)\.weight=iq5_ks
# Non-Repeating Layers
token_embd\.weight=q6_0
output\.weight=q8_0
"
custom=$(
echo "$custom" | grep -v '^#' | \
sed -Ez 's:\n+:,:g;s:,$::;s:^,::'
)
#--dry-run \
numactl -N ${SOCKET} -m ${SOCKET} \
./build/bin/llama-quantize \
--custom-q "$custom" \
--imatrix /mnt/data/models/ubergarm/Qwen3.5-27B-GGUF/imatrix-Qwen3.5-27B-BF16.dat \
/mnt/data/models/ubergarm/Qwen3.5-27B-GGUF/Qwen3.5-27B-BF16-00001-of-00002.gguf \
/mnt/data/models/ubergarm/Qwen3.5-27B-GGUF/Qwen3.5-27B-IQ5_KS.gguf \
IQ5_KS \
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