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--- |
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quantized_by: ubergarm |
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pipeline_tag: text-generation |
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base_model: zai-org/GLM-4.5-Air |
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license: mit |
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base_model_relation: quantized |
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tags: |
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- imatrix |
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- conversational |
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- ik_llama.cpp |
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--- |
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## `ik_llama.cpp` imatrix Quantizations of zai-org/GLM-4.5-Air |
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This quant collection **REQUIRES** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support the ik's latest SOTA quants and optimizations! Do **not** download these big files and expect them to run on mainline vanilla llama.cpp, ollama, LM Studio, KoboldCpp, etc! |
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*NOTE* `ik_llama.cpp` can also run your existing GGUFs from bartowski, unsloth, mradermacher, etc if you want to try it out before downloading my quants. |
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Some of ik's new quants are supported with [Nexesenex/croco.cpp](https://github.com/Nexesenex/croco.cpp) fork of KoboldCPP with Windows builds for CUDA 12.9. Also check for [Windows builds by Thireus here.](https://github.com/Thireus/ik_llama.cpp/releases) which have been CUDA 12.8. |
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These quants provide best in class perplexity for the given memory footprint. |
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## Big Thanks |
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Shout out to Wendell and the **Level1Techs** crew, the community [Forums](https://forum.level1techs.com/t/deepseek-deep-dive-r1-at-home/225826), [YouTube Channel](https://www.youtube.com/@Level1Techs)! **BIG thanks** for providing **BIG hardware** expertise and access to run these experiments and make these great quants available to the community!!! |
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Also thanks to all the folks in the quanting and inferencing community on [BeaverAI Club Discord](https://huggingface.co/BeaverAI) and on [r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/) for tips and tricks helping each other run, test, and benchmark all the fun new models! |
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## Quant Collection |
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Perplexity computed against *wiki.test.raw*. |
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 |
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These first two are just test quants for baseline perplexity comparison: |
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* `BF16` 205.811 GiB (16.004 BPW) |
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- Final estimate: PPL = 4.5704 +/- 0.02796 |
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* `Q8_0` 109.381 GiB (8.505 BPW) |
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- Final estimate: PPL = 4.5798 +/- 0.02804 |
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## IQ5_K 77.704 GiB (6.042 BPW) |
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Final estimate: PPL = 4.5867 +/- 0.02806 |
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<details> |
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<summary>👈 Secret Recipe</summary> |
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```bash |
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#!/usr/bin/env bash |
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custom=" |
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# 47 Repeating Layers [0-46] |
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# Note: All ffn_down.* layers are not divisible by 256 so have limited quantization options. |
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# Attention |
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blk\..*\.attn_q.*=q8_0 |
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blk\..*\.attn_k.*=q8_0 |
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blk\..*\.attn_v.*=q8_0 |
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blk\..*\.attn_output.*=q8_0 |
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# First 1 Dense Layers [0] |
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blk\..*\.ffn_down\.weight=q8_0 |
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blk\..*\.ffn_(gate|up)\.weight=q8_0 |
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# Shared Expert Layers [1-46] |
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blk\..*\.ffn_down_shexp\.weight=q8_0 |
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blk\..*\.ffn_(gate|up)_shexp\.weight=q8_0 |
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# Routed Experts Layers [1-46] |
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blk\.(1)\.ffn_down_exps\.weight=q8_0 |
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blk\.(1)\.ffn_(gate|up)_exps\.weight=q8_0 |
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blk\..*\.ffn_down_exps\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)_exps\.weight=iq5_k |
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# NextN MTP Layer [46] |
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blk\..*\.nextn\.embed_tokens\.weight=iq5_ks |
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blk\..*\.nextn\.shared_head_head\.weight=iq5_ks |
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blk\..*\.nextn\.eh_proj\.weight=q8_0 |
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# Non-Repeating Layers |
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token_embd\.weight=iq6_k |
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output\.weight=iq6_k |
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" |
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custom=$( |
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echo "$custom" | grep -v '^#' | \ |
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sed -Ez 's:\n+:,:g;s:,$::;s:^,::' |
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) |
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numactl -N 0 -m 0 \ |
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./build/bin/llama-quantize \ |
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--custom-q "$custom" \ |
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--imatrix /mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/imatrix-GLM-4.5-Air-BF16.dat \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-128x9.4B-BF16-00001-of-00005.gguf \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-IQ5_K.gguf \ |
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IQ5_K \ |
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192 |
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``` |
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</details> |
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## IQ5_KS 72.855 GiB (5.665 BPW) |
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Final estimate: PPL = 4.5948 +/- 0.02815 |
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<details> |
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<summary>👈 Secret Recipe</summary> |
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```bash |
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#!/usr/bin/env bash |
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custom=" |
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# 47 Repeating Layers [0-46] |
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# Note: All ffn_down.* layers are not divisible by 256 so have limited quantization options. |
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# Attention |
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blk\..*\.attn_q.*=iq5_ks |
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blk\..*\.attn_k.*=q8_0 |
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blk\..*\.attn_v.*=q8_0 |
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blk\..*\.attn_output.*=iq5_ks |
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# First 1 Dense Layers [0] |
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blk\..*\.ffn_down\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)\.weight=iq5_ks |
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# Shared Expert Layers [1-46] |
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blk\..*\.ffn_down_shexp\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)_shexp\.weight=iq5_ks |
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# Routed Experts Layers [1-46] |
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blk\..*\.ffn_down_exps\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)_exps\.weight=iq5_ks |
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# NextN MTP Layer [46] |
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blk\..*\.nextn\.embed_tokens\.weight=iq5_ks |
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blk\..*\.nextn\.shared_head_head\.weight=iq5_ks |
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blk\..*\.nextn\.eh_proj\.weight=q8_0 |
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# Non-Repeating Layers |
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token_embd\.weight=iq4_k |
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output\.weight=iq6_k |
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" |
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custom=$( |
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echo "$custom" | grep -v '^#' | \ |
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sed -Ez 's:\n+:,:g;s:,$::;s:^,::' |
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) |
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numactl -N 0 -m 0 \ |
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./build/bin/llama-quantize \ |
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--custom-q "$custom" \ |
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--imatrix /mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/imatrix-GLM-4.5-Air-BF16.dat \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-128x9.4B-BF16-00001-of-00005.gguf \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-IQ5_KS.gguf \ |
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IQ5_KS \ |
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192 |
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``` |
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</details> |
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## IQ4_K 62.910 GiB (4.892 BPW) |
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Final estimate: PPL = 4.6273 +/- 0.02839 |
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<details> |
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<summary>👈 Secret Recipe</summary> |
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```bash |
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#!/usr/bin/env bash |
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custom=" |
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# 47 Repeating Layers [0-46] |
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# Note: All ffn_down.* layers are not divisible by 256 so have limited quantization options. |
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# Attention |
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blk\..*\.attn_q.*=iq5_ks |
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blk\..*\.attn_k.*=q8_0 |
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blk\..*\.attn_v.*=q8_0 |
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blk\..*\.attn_output.*=iq5_ks |
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# First 1 Dense Layers [0] |
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blk\..*\.ffn_down\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)\.weight=iq5_ks |
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# Shared Expert Layers [1-46] |
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blk\..*\.ffn_down_shexp\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)_shexp\.weight=iq5_ks |
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# Routed Experts Layers [1-46] |
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blk\..*\.ffn_down_exps\.weight=q5_0 |
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blk\..*\.ffn_(gate|up)_exps\.weight=iq4_k |
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# NextN MTP Layer [46] |
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blk\..*\.nextn\.embed_tokens\.weight=iq5_ks |
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blk\..*\.nextn\.shared_head_head\.weight=iq5_ks |
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blk\..*\.nextn\.eh_proj\.weight=q8_0 |
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# Non-Repeating Layers |
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token_embd\.weight=iq4_k |
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output\.weight=iq6_k |
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" |
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custom=$( |
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echo "$custom" | grep -v '^#' | \ |
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sed -Ez 's:\n+:,:g;s:,$::;s:^,::' |
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) |
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numactl -N 1 -m 1 \ |
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./build/bin/llama-quantize \ |
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--custom-q "$custom" \ |
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--imatrix /mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/imatrix-GLM-4.5-Air-BF16.dat \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-128x9.4B-BF16-00001-of-00005.gguf \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-IQ4_K.gguf \ |
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IQ4_K \ |
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192 |
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``` |
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</details> |
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## IQ4_KSS 54.801 GiB (4.261 BPW) |
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Final estimate: PPL = 4.7056 +/- 0.02909 |
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<details> |
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<summary>👈 Secret Recipe</summary> |
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```bash |
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#!/usr/bin/env bash |
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custom=" |
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# 47 Repeating Layers [0-46] |
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# Note: All ffn_down.* layers are not divisible by 256 so have limited quantization options. |
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# Attention |
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blk\.(0|1)\.attn_q.*=q8_0 |
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blk\.(0|1)\.attn_k.*=q8_0 |
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blk\.(0|1)\.attn_v.*=q8_0 |
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blk\.(0|1)\.attn_output.*=q8_0 |
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blk\..*\.attn_q.*=iq5_ks |
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blk\..*\.attn_k.*=iq5_ks |
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blk\..*\.attn_v.*=iq5_ks |
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blk\..*\.attn_output.*=iq5_ks |
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# First 1 Dense Layers [0] |
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blk\..*\.ffn_down\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)\.weight=iq5_ks |
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# Shared Expert Layers [1-46] |
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blk\..*\.ffn_down_shexp\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)_shexp\.weight=iq5_ks |
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# Routed Experts Layers [1-46] |
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#blk\.(1|46)\.ffn_down_exps\.weight=q8_0 |
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#blk\.(1|46)\.ffn_(gate|up)_exps\.weight=q8_0 |
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blk\..*\.ffn_down_exps\.weight=iq4_nl |
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blk\..*\.ffn_(gate|up)_exps\.weight=iq4_kss |
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# NextN MTP Layer [46] |
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blk\..*\.nextn\.embed_tokens\.weight=iq5_ks |
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blk\..*\.nextn\.shared_head_head\.weight=iq5_ks |
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blk\..*\.nextn\.eh_proj\.weight=q8_0 |
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# Non-Repeating Layers |
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token_embd\.weight=iq4_k |
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output\.weight=iq6_k |
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" |
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custom=$( |
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echo "$custom" | grep -v '^#' | \ |
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sed -Ez 's:\n+:,:g;s:,$::;s:^,::' |
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) |
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numactl -N 0 -m 0 \ |
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./build/bin/llama-quantize \ |
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--custom-q "$custom" \ |
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--imatrix /mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/imatrix-GLM-4.5-Air-BF16.dat \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-128x9.4B-BF16-00001-of-00005.gguf \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-IQ4_KSS.gguf \ |
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IQ4_KSS \ |
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192 |
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``` |
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</details> |
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## IQ3_KS 49.072 GiB (3.816 BPW) |
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Final estimate: PPL = 4.7975 +/- 0.02972 |
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<details> |
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<summary>👈 Secret Recipe</summary> |
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```bash |
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#!/usr/bin/env bash |
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custom=" |
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# 47 Repeating Layers [0-46] |
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# Note: All ffn_down.* layers are not divisible by 256 so have limited quantization options. |
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# Attention |
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blk\.(0|1)\.attn_q.*=q8_0 |
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blk\.(0|1)\.attn_k.*=q8_0 |
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blk\.(0|1)\.attn_v.*=q8_0 |
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blk\.(0|1)\.attn_output.*=q8_0 |
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blk\..*\.attn_q.*=iq5_ks |
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blk\..*\.attn_k.*=iq5_ks |
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blk\..*\.attn_v.*=iq5_ks |
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blk\..*\.attn_output.*=iq5_ks |
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# First 1 Dense Layers [0] |
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blk\..*\.ffn_down\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)\.weight=iq5_ks |
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# Shared Expert Layers [1-46] |
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blk\..*\.ffn_down_shexp\.weight=q6_0 |
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blk\..*\.ffn_(gate|up)_shexp\.weight=iq5_ks |
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|
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# Routed Experts Layers [1-46] |
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blk\.(1)\.ffn_down_exps\.weight=q6_0 |
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blk\.(1)\.ffn_(gate|up)_exps\.weight=iq5_ks |
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blk\..*\.ffn_down_exps\.weight=iq4_nl |
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blk\..*\.ffn_(gate|up)_exps\.weight=iq3_ks |
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# Non-Repeating Layers |
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token_embd\.weight=iq4_k |
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output\.weight=iq6_k |
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# NextN MTP Layer [46] |
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blk\..*\.nextn\.embed_tokens\.weight=iq5_ks |
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blk\..*\.nextn\.shared_head_head\.weight=iq5_ks |
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blk\..*\.nextn\.eh_proj\.weight=q8_0 |
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" |
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|
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custom=$( |
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echo "$custom" | grep -v '^#' | \ |
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sed -Ez 's:\n+:,:g;s:,$::;s:^,::' |
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) |
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numactl -N 0 -m 0 \ |
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./build/bin/llama-quantize \ |
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--custom-q "$custom" \ |
|
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--imatrix /mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/imatrix-GLM-4.5-Air-BF16.dat \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-128x9.4B-BF16-00001-of-00005.gguf \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-PR624-IQ3_KS.gguf \ |
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IQ3_KS \ |
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192 |
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``` |
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</details> |
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|
|
|
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|
|
## IQ2_KL 43.870 GiB (3.411 BPW) |
|
|
Final estimate: PPL = 5.0697 +/- 0.03166 |
|
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|
|
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<details> |
|
|
|
|
|
<summary>👈 Secret Recipe</summary> |
|
|
|
|
|
```bash |
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|
#!/usr/bin/env bash |
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|
|
|
|
custom=" |
|
|
# 47 Repeating Layers [0-46] |
|
|
# Note: All ffn_down.* layers are not divisible by 256 so have limited quantization options. |
|
|
|
|
|
# Attention |
|
|
blk\..*\.attn_q.*=iq4_ks |
|
|
blk\..*\.attn_k.*=iq5_ks |
|
|
blk\..*\.attn_v.*=iq5_ks |
|
|
blk\..*\.attn_output.*=iq4_ks |
|
|
|
|
|
# First 1 Dense Layers [0] |
|
|
blk\..*\.ffn_down\.weight=iq4_nl |
|
|
blk\..*\.ffn_(gate|up)\.weight=iq4_kss |
|
|
|
|
|
# Shared Expert Layers [1-46] |
|
|
blk\..*\.ffn_down_shexp\.weight=iq4_nl |
|
|
blk\..*\.ffn_(gate|up)_shexp\.weight=iq4_kss |
|
|
|
|
|
# Routed Experts Layers [1-46] |
|
|
blk\.(1)\.ffn_down_exps\.weight=iq4_nl |
|
|
blk\.(1)\.ffn_(gate|up)_exps\.weight=iq4_kss |
|
|
|
|
|
blk\..*\.ffn_down_exps\.weight=iq4_nl |
|
|
blk\..*\.ffn_(gate|up)_exps\.weight=iq2_kl |
|
|
|
|
|
# NextN MTP Layer [46] |
|
|
blk\..*\.nextn\.embed_tokens\.weight=iq4_ks |
|
|
blk\..*\.nextn\.shared_head_head\.weight=iq4_ks |
|
|
blk\..*\.nextn\.eh_proj\.weight=q6_0 |
|
|
|
|
|
# Non-Repeating Layers |
|
|
token_embd\.weight=iq4_k |
|
|
output\.weight=iq6_k |
|
|
" |
|
|
|
|
|
custom=$( |
|
|
echo "$custom" | grep -v '^#' | \ |
|
|
sed -Ez 's:\n+:,:g;s:,$::;s:^,::' |
|
|
) |
|
|
|
|
|
numactl -N 0 -m 0 \ |
|
|
./build/bin/llama-quantize \ |
|
|
--custom-q "$custom" \ |
|
|
--imatrix /mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/imatrix-GLM-4.5-Air-BF16.dat \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-128x9.4B-BF16-00001-of-00005.gguf \ |
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/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-IQ2_KL.gguf \ |
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IQ2_KL \ |
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192 |
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``` |
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|
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</details> |
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|
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## IQ1_KT 36.039 GiB (2.802 BPW) |
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Final estimate: PPL = 5.8214 +/- 0.03767 |
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|
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<details> |
|
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|
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<summary>👈 Secret Recipe</summary> |
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|
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```bash |
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#!/usr/bin/env bash |
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|
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custom=" |
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# 47 Repeating Layers [0-46] |
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# Note: All ffn_down.* layers are not divisible by 256 so have limited quantization options. |
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|
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# Attention |
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blk\..*\.attn_q.*=iq4_kt |
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blk\..*\.attn_k.*=iq4_kt |
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blk\..*\.attn_v.*=iq4_kt |
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blk\..*\.attn_output.*=iq4_kt |
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|
|
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# First 1 Dense Layers [0] |
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blk\..*\.ffn_down\.weight=iq4_nl |
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blk\..*\.ffn_(gate|up)\.weight=iq4_kt |
|
|
|
|
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# Shared Expert Layers [1-46] |
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|
blk\..*\.ffn_down_shexp\.weight=iq4_nl |
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blk\..*\.ffn_(gate|up)_shexp\.weight=iq4_kt |
|
|
|
|
|
# Routed Experts Layers [1-46] |
|
|
blk\..*\.ffn_down_exps\.weight=iq4_nl |
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|
blk\..*\.ffn_(gate|up)_exps\.weight=iq1_kt |
|
|
|
|
|
# NextN MTP Layer [46] |
|
|
blk\..*\.nextn\.embed_tokens\.weight=iq4_kt |
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|
blk\..*\.nextn\.shared_head_head\.weight=iq4_kt |
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|
blk\..*\.nextn\.eh_proj\.weight=q8_0 |
|
|
|
|
|
# Non-Repeating Layers |
|
|
token_embd\.weight=iq4_k |
|
|
output\.weight=iq6_k |
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|
" |
|
|
|
|
|
custom=$( |
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|
echo "$custom" | grep -v '^#' | \ |
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|
sed -Ez 's:\n+:,:g;s:,$::;s:^,::' |
|
|
) |
|
|
|
|
|
numactl -N 1 -m 1 \ |
|
|
./build/bin/llama-quantize \ |
|
|
--custom-q "$custom" \ |
|
|
--imatrix /mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/imatrix-GLM-4.5-Air-BF16.dat \ |
|
|
/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-128x9.4B-BF16-00001-of-00005.gguf \ |
|
|
/mnt/raid/models/ubergarm/GLM-4.5-Air-GGUF/GLM-4.5-Air-IQ1_KT.gguf \ |
|
|
IQ1_KT \ |
|
|
192 |
|
|
``` |
|
|
|
|
|
</details> |
|
|
|
|
|
|
|
|
## Quick Start |
|
|
If you want to disable thinking, add `/nothink` (correct, no underscore) at the *end* of your prompt. |
|
|
|
|
|
```bash |
|
|
# Clone and checkout |
|
|
$ git clone https://github.com/ikawrakow/ik_llama.cpp |
|
|
$ cd ik_llama.cpp |
|
|
|
|
|
# Build for hybrid CPU+CUDA |
|
|
$ cmake -B build -DCMAKE_BUILD_TYPE=Release -DGGML_CUDA=ON -DGGML_BLAS=OFF -DGGML_SCHED_MAX_COPIES=1 |
|
|
$ cmake --build build --config Release -j $(nproc) |
|
|
|
|
|
# Run API server |
|
|
$ ./build/bin/llama-server \ |
|
|
--model GLM-4.5-Air-IQ4_KSS-00001-of-00002.gguf \ |
|
|
--alias ubergarm/GLM-4.5-Air-IQ4_KSS \ |
|
|
--chat-template chatglm4 \ |
|
|
--ctx-size 32768 \ |
|
|
-fa -fmoe \ |
|
|
-ctk q8_0 -ctv q8_0 \ |
|
|
-ub 4096 -b 4096 \ |
|
|
-ngl 99 \ |
|
|
-ot exps=CPU \ |
|
|
--parallel 1 \ |
|
|
--threads 8 \ |
|
|
--host 127.0.0.1 \ |
|
|
--port 8080 \ |
|
|
--no-mmap |
|
|
``` |
|
|
|
|
|
## References |
|
|
* [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp) |
|
|
* [Getting Started Guide (already out of date lol)](https://github.com/ikawrakow/ik_llama.cpp/discussions/258) |
|
|
* [ubergarm-imatrix-calibration-corpus-v02.txt](https://gist.github.com/ubergarm/edfeb3ff9c6ec8b49e88cdf627b0711a?permalink_comment_id=5682584#gistcomment-5682584) |
|
|
* [Mainline llama.cpp Draft PR14939](https://github.com/ggml-org/llama.cpp/pull/14939) |
|
|
* [ik_llama.cpp GLM-4.5 MoE PR668](https://github.com/ikawrakow/ik_llama.cpp/pull/668) |
|
|
|
