Text Generation
MLX
Safetensors
English
Korean
Japanese
solar_open2
solar-open2
upstage
solar
Mixture of Experts
quantized
dwq
apple-silicon
mixed-precision
Eval Results
custom_code
conversational
4-bit precision
Instructions to use avlp12/Solar-Open2-250B-Alis-MLX-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use avlp12/Solar-Open2-250B-Alis-MLX-Dynamic with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("avlp12/Solar-Open2-250B-Alis-MLX-Dynamic") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use avlp12/Solar-Open2-250B-Alis-MLX-Dynamic with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use avlp12/Solar-Open2-250B-Alis-MLX-Dynamic with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use avlp12/Solar-Open2-250B-Alis-MLX-Dynamic with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default avlp12/Solar-Open2-250B-Alis-MLX-Dynamic
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use avlp12/Solar-Open2-250B-Alis-MLX-Dynamic with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "avlp12/Solar-Open2-250B-Alis-MLX-Dynamic" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Commit History
-
build_overview: exact disk sizes per build
Verified signaturec18573e -
Card: exact build sizes with GB/GiB units (Q 156.5 GB/145.7 GiB, F 73.3 GB+4.0 adapters, T 265.9 GB)
Verified signaturea9c7d1b -
Upload README.md with huggingface_hub
Verified signature48e30b4 -
Loss curve: true x-range, round labels, smoothed trend, clean callouts
Verified signature2898e29 -
Prettier clip_gate_ppl.png: readability redesign
Verified signature6c2bfe6 -
Prettier quant_efficiency.png: readability redesign
Verified signatureae7530c -
Prettier build_overview.png: readability redesign
Verified signature616a3e5 -
Upload README.md with huggingface_hub
Verified signaturebc307c8 -
Fix architecture_map: separate bottom annotation from diagram, widen router-gate box, clear 'always active' label
Verified signature00df317 -
Update README.md
Verified signature53b14c4 -
Card: add Credits section (attribution bullet list, GLM-style)
Verified signature27dfe2d -
Card: note that HF's Hardware compatibility panel indexes only the root model (main=Q v3)
Verified signature4e79d29 -
Upload README.md with huggingface_hub
Verified signature7657716 -
Card: honest 96/192 GiB fits from measured load peaks (77.5/156.7 GB)
Verified signatured47a577 -
Card: branch selection via Python API (CLI has no --revision flag)
Verified signatureeee2ce9 -
Upload folder using huggingface_hub
Verified signaturee32328c -
Initial commit: unified model card (3 DWQ builds, branches layout)
Verified signature665d80c -
initial commit
Verified signaturee529d8f