Instructions to use lmstudio-community/internlm2-math-plus-7b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use lmstudio-community/internlm2-math-plus-7b-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="lmstudio-community/internlm2-math-plus-7b-GGUF", filename="internlm2-math-plus-7b-IQ1_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use lmstudio-community/internlm2-math-plus-7b-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
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 lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
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 lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use lmstudio-community/internlm2-math-plus-7b-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmstudio-community/internlm2-math-plus-7b-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/internlm2-math-plus-7b-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
- Ollama
How to use lmstudio-community/internlm2-math-plus-7b-GGUF with Ollama:
ollama run hf.co/lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
- Unsloth Studio
How to use lmstudio-community/internlm2-math-plus-7b-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lmstudio-community/internlm2-math-plus-7b-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lmstudio-community/internlm2-math-plus-7b-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lmstudio-community/internlm2-math-plus-7b-GGUF to start chatting
- Docker Model Runner
How to use lmstudio-community/internlm2-math-plus-7b-GGUF with Docker Model Runner:
docker model run hf.co/lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
- Lemonade
How to use lmstudio-community/internlm2-math-plus-7b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lmstudio-community/internlm2-math-plus-7b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.internlm2-math-plus-7b-GGUF-Q4_K_M
List all available models
lemonade list
💫 Community Model> InternLM2 Math Plus 7B by InternLM
👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.
Model creator: InternLM
Original model: internlm2-math-plus-7b
GGUF quantization: provided by bartowski based on llama.cpp release b3001
Model Summary:
InternLM2 Math Plus is a series of math proficient models by InternLM, following up on their original series of math models.
This series has state of the art bilingual open-sourced math reasoning models at several sizes. This should be used as a solver, prover, verifier, augmentor, with chain of thought reasoning.
Prompt template:
Choose the ChatML preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Technical Details
Math Plus has improved informal math reasoning performance (chain-of-thought and code-intepreter) and formal math reasoning performance (LEAN 4 translation and LEAN 4 theorem proving).
InternLM2-Math are continued pretrained from InternLM2-Base with ~100B high quality math-related tokens and SFT with ~2M bilingual math supervised data.
More details can be found here: https://github.com/InternLM/InternLM-Math
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp
🙏 Special thanks to Kalomaze and Dampf for their work on the dataset (linked here) that was used for calculating the imatrix for all sizes.
Disclaimers
LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
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internlm/internlm2-math-plus-7b