Text Generation
Transformers
Safetensors
GGUF
English
Chinese
glm4_moe_lite
glm4
prism
Mixture of Experts
conversational
Instructions to use Ex0bit/GLM-4.7-Flash-PRISM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ex0bit/GLM-4.7-Flash-PRISM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ex0bit/GLM-4.7-Flash-PRISM") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Ex0bit/GLM-4.7-Flash-PRISM") model = AutoModelForCausalLM.from_pretrained("Ex0bit/GLM-4.7-Flash-PRISM", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Ex0bit/GLM-4.7-Flash-PRISM 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 Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ex0bit/GLM-4.7-Flash-PRISM: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 Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Ex0bit/GLM-4.7-Flash-PRISM: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 Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
Use Docker
docker model run hf.co/Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Ex0bit/GLM-4.7-Flash-PRISM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ex0bit/GLM-4.7-Flash-PRISM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ex0bit/GLM-4.7-Flash-PRISM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
- SGLang
How to use Ex0bit/GLM-4.7-Flash-PRISM with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Ex0bit/GLM-4.7-Flash-PRISM" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ex0bit/GLM-4.7-Flash-PRISM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Ex0bit/GLM-4.7-Flash-PRISM" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ex0bit/GLM-4.7-Flash-PRISM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use Ex0bit/GLM-4.7-Flash-PRISM with Ollama:
ollama run hf.co/Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
- Unsloth Desktop
- Pi
How to use Ex0bit/GLM-4.7-Flash-PRISM with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Ex0bit/GLM-4.7-Flash-PRISM with Docker Model Runner:
docker model run hf.co/Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
- Lemonade
How to use Ex0bit/GLM-4.7-Flash-PRISM with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
Run and chat with the model
lemonade run user.GLM-4.7-Flash-PRISM-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Ex0bit/GLM-4.7-Flash-PRISM with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
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 Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Ex0bit/GLM-4.7-Flash-PRISM with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M
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 "Ex0bit/GLM-4.7-Flash-PRISM:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Update README.md
Browse files
README.md
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This is **Ex0bit/GLM-4.7-Flash-PRISM**
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**GLM-4.7-Flash-PRISM:** Unrestricted (Zero Over-Refusals and Zero Propoganda) GLM-4.7-Flash Model Access
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This is **Ex0bit/GLM-4.7-Flash-PRISM**
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<span style="background: #e94560; color: white; padding: 6px 16px; border-radius: 20px; font-size: 11px; font-weight: 700; letter-spacing: 1.5px;">π ACCESS REQUIRED</span>
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<span style="color: white; font-size: 24px; font-weight: 700;">Get Started in 2 Steps</span>
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<span style="color: #a0aec0; font-size: 14px;">Complete both steps below to unlock your access</span>
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<span style="color: white; font-weight: 600; font-size: 15px;">Submit Access Request</span><br>
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<span style="color: #718096; font-size: 13px;">Fill in your information using the form below</span>
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<span style="color: white; font-weight: 600; font-size: 15px;">Complete Support Donation</span><br>
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<span style="color: #718096; font-size: 13px;">Choose one of the options below</span>
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<a href="https://ko-fi.com/summary/6bae206c-a751-4868-8dc7-f531afd1fb4c" target="_blank" style="background: #e94560; color: white; text-decoration: none; padding: 14px 32px; border-radius: 10px; font-weight: 700; font-size: 15px;">β¨ PRISM VIP Membership</a>
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<span style="color: #718096; font-size: 12px;">Day-0 Drop Access for ALL PRISM Models</span>
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<span style="color: #4a5568; font-size: 12px; letter-spacing: 2px;">βββ OR βββ</span>
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<a href="https://ko-fi.com/s/86882e8991" target="_blank" style="background: #0d1421; color: white; text-decoration: none; padding: 14px 32px; border-radius: 10px; font-weight: 600; font-size: 15px; border: 1px solid #4a5568;">One-Time Support</a>
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<span style="color: #718096; font-size: 12px;">GLM-4.7-Flash-PRISM Access</span>
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<span style="color: #48bb78; font-size: 13px; font-weight: 500;">β Access granted automatically after completing both steps</span>
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</div>
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**GLM-4.7-Flash-PRISM:** Unrestricted (Zero Over-Refusals and Zero Propoganda) GLM-4.7-Flash Model Access
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