MiMo-V2-Flash-GGUF
40
ik_llama.cpp
by
ubergarm
Language Model
OTHER
New
40 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Code Examples
IQ5_K 213.151 GiB (5.930 BPW)bash
#!/usr/bin/env bash
custom="
# 48 Repeating Layers [0-47]
# Attention
blk\..*\.attn_q.*=q8_0
blk\..*\.attn_k.*=q8_0
blk\..*\.attn_v.*=q8_0
blk\..*\.attn_output.*=q8_0
# First 1 Dense Layers [0]
blk\..*\.ffn_down\.weight=q8_0
blk\..*\.ffn_(gate|up)\.weight=q8_0
# Routed Experts Layers [1-47]
blk\..*\.ffn_down_exps\.weight=iq6_k
blk\..*\.ffn_(gate|up)_exps\.weight=iq5_k
# Non-Repeating Layers
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" \
--imatrix /mnt/data/models/ubergarm/MiMo-V2-Flash-GGUF/imatrix-MiMo-V2-Flash-BF16.dat \
/mnt/data/models/ubergarm/MiMo-V2-Flash-GGUF/MiMo-V2-Flash-256x7.2B-BF16-00001-of-00013.gguf \
/mnt/data/models/ubergarm/MiMo-V2-Flash-GGUF/MiMo-V2-Flash-IQ5_K.gguf \
IQ5_K \
128Quick Startbashllama.cpp
# 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
$ cmake --build build --config Release -j $(nproc)
# Full 2x GPU offload
./build/bin/llama-server \
--model "$model" \
--alias ubergarm/MiMo-V2-Flash-GGUF \
--ctx-size 32768 \
-ctk q8_0 -ctv q8_0 \
-sm graph \
-smgs \
-mea 256 \
-ts 42,48 \
-ngl 99 \
-ub 2048 -b 2048 \
--threads 1 \
--host 127.0.0.1 \
--port 8080 \
--no-mmap \
--jinja
# Hybrid CPU + 2 or more GPUs
# using new "-sm graph" 'tensor parallel' feature!
# https://github.com/ikawrakow/ik_llama.cpp/pull/1080
# https://github.com/ikawrakow/ik_llama.cpp/pull/1105
For examples take a look at: https://huggingface.co/ubergarm/GLM-4.7-GGUF#quick-start
# CPU Only
numactl -N "$SOCKET" -m "$SOCKET" \
./build/bin/llama-server \
--model "$model" \
--alias ubergarm/MiMo-V2-Flash \
--ctx-size 65536 \
--merge-qkv \
-ctk q8_0 -ctv q8_0 \
-ub 4096 -b 4096 \
--parallel 1 \
--threads 96 \
--threads-batch 128 \
--numa numactl \
--host 127.0.0.1 \
--port 8080 \
--no-mmap \
--no-display-prompt \
--log-enable \
--jinjaDeploy This Model
Production-ready deployment in minutes
Together.ai
Instant API access to this model
Production-ready inference API. Start free, scale to millions.
Try Free APIReplicate
One-click model deployment
Run models in the cloud with simple API. No DevOps required.
Deploy NowDisclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.