Instructions to use Subject-Emu-5259/NeuralAI-Mamba-K2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Subject-Emu-5259/NeuralAI-Mamba-K2 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 Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Subject-Emu-5259/NeuralAI-Mamba-K2: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 Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Subject-Emu-5259/NeuralAI-Mamba-K2: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 Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M

Use Docker

docker model run hf.co/Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M

LM Studio
Jan
Ollama
How to use Subject-Emu-5259/NeuralAI-Mamba-K2 with Ollama:
```
ollama run hf.co/Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M
```

Unsloth Studio

How to use Subject-Emu-5259/NeuralAI-Mamba-K2 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 Subject-Emu-5259/NeuralAI-Mamba-K2 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 Subject-Emu-5259/NeuralAI-Mamba-K2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Subject-Emu-5259/NeuralAI-Mamba-K2 to start chatting

Docker Model Runner
How to use Subject-Emu-5259/NeuralAI-Mamba-K2 with Docker Model Runner:
```
docker model run hf.co/Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M
```

Lemonade

How to use Subject-Emu-5259/NeuralAI-Mamba-K2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Subject-Emu-5259/NeuralAI-Mamba-K2:Q4_K_M

Run and chat with the model

lemonade run user.NeuralAI-Mamba-K2-Q4_K_M

List all available models

lemonade list

Atomic Chat

NeuralAI-Mamba-K2 / README.md

Subject-Emu-5259

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metadata

language:
  - en
license: apache-2.0
tags:
  - mamba
  - ssm
  - causal-lm
  - gguf
  - quantized
  - neuralai
  - base-model

🧠 NeuralAI · Mamba K2

NeuralAI's scaled Mamba SSM base, quantized to Q4_K_M GGUF (460MB) for fast local inference.

Model Details

Architecture: Mamba SSM (state-spaces/mamba-790m-hf)
Parameters: 793M
Quantization: Q4_K_M via llama.cpp
Status: Base pretrained weights — SFT queued to convert to instruction-tuned chat
Creator: De'Andrew Preston Harris, NeuralAI

Status

Mamba K2 is base-model only until SFT training is complete.
Output will be base-model continuations, not aligned chat, until the SFT checkpoint is merged.
Follow github.com/Subject-Emu-5259/NeuralAI for SFT releases.

Prompt Format (planned: neuralai-intel)

After SFT, K2 will use the same vocabulary-friendly format as K1:

### System:
You are NeuralAI, a helpful assistant.
### User:
{your question}
### Assistant:

Use with LM Studio / llama.cpp

python3 -m llama_cpp.server --model mamba-790m-hf.Q4_K_M.gguf --chat_format neuralai-intel

License

Apache 2.0