Kimi-K2-Thinking-GGUF
11.5K
19
1 language
Q4
ik_llama.cpp
by
ubergarm
Language Model
OTHER
Fair
11K downloads
Community-tested
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
imatrix Quantization of moonshotai/Kimi-K2-Thinking UPDATE: The `smol-IQ3KS` scored 77.
Code Examples
Q4_0 (patched) routed experts approximating original QAT designbash
#!/usr/bin/env bash
# Q4_0 (patched) routed experts approximating original QAT design
# Q8_0 everything else
custom="
## Attention [0-60] (GPU)
blk\..*\.attn_k_b\.weight=q8_0
blk\..*\.attn_v_b\.weight=q8_0
# Balance of attn tensors
blk\..*\.attn_kv_a_mqa\.weight=q8_0
blk\..*\.attn_q_a\.weight=q8_0
blk\..*\.attn_q_b\.weight=q8_0
blk\..*\.attn_output\.weight=q8_0
## First Single Dense Layer [0] (GPU)
blk\..*\.ffn_down\.weight=q8_0
blk\..*\.ffn_(gate|up)\.weight=q8_0
## Shared Expert [1-60] (GPU)
blk\..*\.ffn_down_shexp\.weight=q8_0
blk\..*\.ffn_(gate|up)_shexp\.weight=q8_0
## Routed Experts [1-60] (CPU)
blk\..*\.ffn_down_exps\.weight=q4_0
blk\..*\.ffn_(gate|up)_exps\.weight=q4_0
token_embd\.weight=q8_0
output\.weight=q8_0
"
custom=$(
echo "$custom" | grep -v '^#' | \
sed -Ez 's:\n+:,:g;s:,$::;s:^,::'
)
numactl -N ${SOCKET} -m ${SOCKET} \
./build/bin/llama-quantize \
--custom-q "$custom" \
/mnt/data/models/ubergarm/Kimi-K2-Thinking-GGUF/-384x14B-BF16-00001-of-00046.gguf \
/mnt/data/models/ubergarm/Kimi-K2-Thinking-GGUF/Kimi-K2-Thinking-Q8_0-Q4_0.gguf \
Q8_0 \
128smol-IQ4_KSS 485.008 GiB (4.059 BPW)bash
#!/usr/bin/env bash
custom="
## Attention [0-60] (GPU)
blk\..*\.attn_k_b\.weight=q8_0
blk\..*\.attn_v_b\.weight=q8_0
# Balance of attn tensors
blk\..*\.attn_kv_a_mqa\.weight=q8_0
blk\..*\.attn_q_a\.weight=q8_0
blk\..*\.attn_q_b\.weight=q8_0
blk\..*\.attn_output\.weight=q8_0
## First Single Dense Layer [0] (GPU)
blk\..*\.ffn_down\.weight=q8_0
blk\..*\.ffn_(gate|up)\.weight=q8_0
## Shared Expert [1-60] (GPU)
blk\..*\.ffn_down_shexp\.weight=q8_0
blk\..*\.ffn_(gate|up)_shexp\.weight=q8_0
## Routed Experts [1-60] (CPU)
blk\..*\.ffn_down_exps\.weight=iq4_kss
blk\..*\.ffn_(gate|up)_exps\.weight=iq4_kss
token_embd\.weight=iq6_k
output\.weight=iq6_k
"
custom=$(
echo "$custom" | grep -v '^#' | \
sed -Ez 's:\n+:,:g;s:,$::;s:^,::'
)
numactl -N ${SOCKET} -m ${SOCKET} \
./build/bin/llama-quantize \
--custom-q "$custom" \
--imatrix /mnt/data/models/ubergarm/Kimi-K2-Thinking-GGUF/imatrix-Kimi-K2-Thinking-Q8_0-Q4_0.dat \
/mnt/data/models/ubergarm/Kimi-K2-Thinking-GGUF/-384x14B-BF16-00001-of-00046.gguf \
/mnt/data/models/ubergarm/Kimi-K2-Thinking-GGUF/Kimi-K2-Thinking-smol-IQ4_KSS.gguf \
IQ4_KSS \
128Example running Hybrid CPU+GPU(s) on ik_llama.cppbashllama.cpp
# Example running Hybrid CPU+GPU(s) on ik_llama.cpp
./build/bin/llama-server \
--model "$model"\
--alias ubergarm/Kimi-K2-Thinking-GGUF \
--ctx-size 32768 \
-ctk q8_0 \
-mla 3 \
-ngl 99 \
-ot "blk\.(1|2|3)\.ffn_.*=CUDA0" \
-ot "blk\.(4|5|6)\.ffn_.*=CUDA1" \
-ot exps=CPU \
--parallel 1 \
--threads 96 \
--threads-batch 128 \
--host 127.0.0.1 \
--port 8080 \
--no-mmap \
--jinja \
--chat-template-file updatedChatTemplate.jinja \
--special
# Example running mainline llama.cpp
# remove `-mla 3` from commands and you should be :gucci:Deploy This Model
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