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+imatrix-*.dat filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -1,3 +1,369 @@
 ---
+quantized_by: ubergarm
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-Coder-480B-A35B-Instruct
 license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE
+base_model_relation: quantized
+tags:
+- imatrix
+- qwen3_moe
+- conversational
+- ik_llama.cpp
 ---
+
+*WIP* Still cooking and will upload ASAP.
+
+## `ik_llama.cpp` imatrix Quantizations of Qwen/Qwen3-Coder-480B-A35B-Instruct
+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!
+
+*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.
+
+Some of ik's new quants are supported with [Nexesenex/croco.cpp](https://github.com/Nexesenex/croco.cpp) fork of KoboldCPP.
+
+These quants provide best in class perplexity for the given memory footprint.
+
+## Big Thanks
+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!!!
+
+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!
+
+## Quant Collection
+Perplexity computed against *wiki.test.raw*. These first two are just test quants for baseline perplexity comparison:
+
+* `bf16` TODO
+  - Final estimate: PPL = TODO
+* `Q8_0` 475.297 GiB (8.503 BPW)
+  - Final estimate: PPL = TODO
+
+## `IQ5_K` TODO
+Final estimate: TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+#!/usr/bin/env bash
+
+# Repeating Layers [0-61]
+
+custom="
+# Attention
+blk\..*\.attn_q.*=iq6_k
+blk\..*\.attn_k.*=q8_0
+blk\..*\.attn_v.*=q8_0
+blk\..*\.attn_output.*=iq6_k
+
+# Routed Experts
+blk\..*\.ffn_down_exps\.weight=iq6_k
+blk\..*\.ffn_(gate|up)_exps\.weight=iq5_k
+
+# Non-Repeating Layers
+token_embd\.weight=iq6_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/Qwen3-Coder-480B-A35B-Instruct-GGUF/imatrix-Qwen3-Coder-480B-A35B-Instruct-Q8_0.dat \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-BF16-00001-of-00021.gguf \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-IQ5_K.gguf \
+    IQ5_K \
+    192
+```
+
+</details>
+
+## `IQ4_K` TODO
+Final estimate: TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+#!/usr/bin/env bash
+
+# Repeating Layers [0-61]
+
+custom="
+# Attention
+blk\..*\.attn_q.*=iq6_k
+blk\..*\.attn_k.*=q8_0
+blk\..*\.attn_v.*=q8_0
+blk\..*\.attn_output.*=iq6_k
+
+# Routed Experts
+blk\..*\.ffn_down_exps\.weight=iq5_k
+blk\..*\.ffn_(gate|up)_exps\.weight=iq4_k
+
+# Non-Repeating Layers
+token_embd\.weight=iq6_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/Qwen3-Coder-480B-A35B-Instruct-GGUF/imatrix-Qwen3-Coder-480B-A35B-Instruct-Q8_0.dat \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-BF16-00001-of-00021.gguf \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-IQ4_K.gguf \
+    IQ4_K \
+    192
+```
+
+</details>
+
+## `IQ3_K` TODO
+Final estimate: TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+#!/usr/bin/env bash
+
+# Repeating Layers [0-61]
+
+custom="
+# Attention
+blk\..*\.attn_q.*=iq6_k
+blk\..*\.attn_k.*=q8_0
+blk\..*\.attn_v.*=q8_0
+blk\..*\.attn_output.*=iq6_k
+
+# Routed Experts
+blk\..*\.ffn_down_exps\.weight=iq4_k
+blk\..*\.ffn_(gate|up)_exps\.weight=iq3_k
+
+# 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/Qwen3-Coder-480B-A35B-Instruct-GGUF/imatrix-Qwen3-Coder-480B-A35B-Instruct-Q8_0.dat \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-BF16-00001-of-00021.gguf \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-IQ3_K.gguf \
+    IQ3_K \
+    192
+```
+
+</details>
+
+## `IQ2_KL` TODO
+Final estimate: TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+#!/usr/bin/env bash
+
+# Repeating Layers [0-61]
+
+custom="
+# Attention
+blk\..*\.attn_q.*=iq6_k
+blk\..*\.attn_k.*=q8_0
+blk\..*\.attn_v.*=q8_0
+blk\..*\.attn_output.*=iq6_k
+
+# Routed Experts
+blk\..*\.ffn_down_exps\.weight=iq3_k
+blk\..*\.ffn_(gate|up)_exps\.weight=iq2_kl
+
+# 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/Qwen3-Coder-480B-A35B-Instruct-GGUF/imatrix-Qwen3-Coder-480B-A35B-Instruct-Q8_0.dat \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-BF16-00001-of-00021.gguf \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-IQ2_KL.gguf \
+    IQ2_KL \
+    192
+```
+
+</details>
+
+## `IQ2_K` TODO
+Final estimate: TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+#!/usr/bin/env bash
+
+# Repeating Layers [0-61]
+
+custom="
+# Attention
+blk\..*\.attn_q.*=iq6_k
+blk\..*\.attn_k.*=q8_0
+blk\..*\.attn_v.*=q8_0
+blk\..*\.attn_output.*=iq6_k
+
+# Routed Experts
+blk\..*\.ffn_down_exps\.weight=iq2_kl
+blk\..*\.ffn_(gate|up)_exps\.weight=iq2_k
+
+# 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/Qwen3-Coder-480B-A35B-Instruct-GGUF/imatrix-Qwen3-Coder-480B-A35B-Instruct-Q8_0.dat \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-BF16-00001-of-00021.gguf \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-IQ2_K.gguf \
+    IQ2_K \
+    192
+```
+
+</details>
+
+## `IQ2_KS` TODO
+Final estimate: TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+#!/usr/bin/env bash
+
+# Repeating Layers [0-61]
+
+custom="
+# Attention
+blk\..*\.attn_q.*=iq4_ks
+blk\..*\.attn_k.*=iq5_ks
+blk\..*\.attn_v.*=iq5_ks
+blk\..*\.attn_output.*=iq4_ks
+
+# Routed Experts
+blk\..*\.ffn_down_exps\.weight=iq3_ks
+blk\..*\.ffn_(gate|up)_exps\.weight=iq2_ks
+
+# 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/Qwen3-Coder-480B-A35B-Instruct-GGUF/imatrix-Qwen3-Coder-480B-A35B-Instruct-Q8_0.dat \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-BF16-00001-of-00021.gguf \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-IQ2_KS.gguf \
+    IQ2_KS \
+    192
+```
+
+</details>
+
+## `IQ2_KT` TODO
+Final estimate: TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+blk\..*\.attn_q.*=iq4_kt
+blk\..*\.attn_k.*=iq4_kt
+blk\..*\.attn_v.*=iq4_kt
+blk\..*\.attn_output.*=iq4_kt
+
+# Routed Experts
+blk\..*\.ffn_down_exps\.weight=iq3_kt
+blk\..*\.ffn_(gate|up)_exps\.weight=iq2_kt
+
+# Non-Repeating Layers
+token_embd\.weight=iq4_kt
+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/Qwen3-Coder-480B-A35B-Instruct-GGUF/imatrix-Qwen3-Coder-480B-A35B-Instruct-Q8_0.dat \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-BF16-00001-of-00021.gguf \
+    /mnt/raid/models/ubergarm/Qwen3-Coder-480B-A35B-Instruct-GGUF/Qwen3-Coder-480B-A35B-Instruct-IQ2_KT.gguf \
+    IQ2_KT \
+    192
+```
+
+</details>
+
+## Quick Start
+This example is for a single CUDA GPU hybrid infrencing with CPU/RAM. Check ik_llama.cpp discussions or my other quants for more examples for multi-GPU etc.
+
+```bash
+./build/bin/llama-server \
+  --model /models/IQ2_KS/Qwen3-Coder-480B-A35B-Instruct-IQ2_KS.gguf \
+  --alias ubergarm/Qwen3-Coder-480B-A35B-Instruct \
+  -fa -fmoe \
+  -ctk q8_0 -ctv q8_0 \
+  -c 32768 \
+  -ngl 99 \
+  -ot "blk\.[0-9]\.ffn.*=CUDA0" \
+  -ot "blk.*\.ffn.*=CPU \
+  --threads 16 \
+  -ub 4096 -b 4096 \
+  --host 127.0.0.1 \
+  --port 8080
+```
+
+## 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)