Instructions to use tchbcb/MiniCPM5-2B-cpu-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tchbcb/MiniCPM5-2B-cpu-mixed with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tchbcb/MiniCPM5-2B-cpu-mixed # Run inference directly in the terminal: llama cli -hf tchbcb/MiniCPM5-2B-cpu-mixed
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tchbcb/MiniCPM5-2B-cpu-mixed # Run inference directly in the terminal: llama cli -hf tchbcb/MiniCPM5-2B-cpu-mixed
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tchbcb/MiniCPM5-2B-cpu-mixed # Run inference directly in the terminal: ./llama-cli -hf tchbcb/MiniCPM5-2B-cpu-mixed
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tchbcb/MiniCPM5-2B-cpu-mixed # Run inference directly in the terminal: ./build/bin/llama-cli -hf tchbcb/MiniCPM5-2B-cpu-mixed
Use Docker
docker model run hf.co/tchbcb/MiniCPM5-2B-cpu-mixed
- LM Studio
- Jan
- Ollama
How to use tchbcb/MiniCPM5-2B-cpu-mixed with Ollama:
ollama run hf.co/tchbcb/MiniCPM5-2B-cpu-mixed
- Unsloth Desktop
- Docker Model Runner
How to use tchbcb/MiniCPM5-2B-cpu-mixed with Docker Model Runner:
docker model run hf.co/tchbcb/MiniCPM5-2B-cpu-mixed
- Lemonade
How to use tchbcb/MiniCPM5-2B-cpu-mixed with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tchbcb/MiniCPM5-2B-cpu-mixed
Run and chat with the model
lemonade run user.MiniCPM5-2B-cpu-mixed-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Commit History
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Upload minicpm5-q4km.gguf with huggingface_hub
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fix: replace 130072-line vocab with the original 130560-line vocab the weights were quantized against
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pondernet: add difficulty-conditioned prior (--difficulty-prior, PonderLoader) + make_gsm8k_zh_data.py (HF dataset -> difficulty-bucketed CoT jsonl) + README section 10
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add pondernet/: PonderNet loop-thinking for MiniCPM5-2B (impl + train + eval + data + T4-verified head), separate subdir to avoid touching existing files
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v2: profile-guided CPU inference optimization
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v2: profile-guided CPU inference optimization
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add vocab.tsv
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add convert_minicpm_mixed.py
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add server/minicpm_server.c
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add README.md
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add minicpm_mixed.bin
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initial commit
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