Text Generation
Transformers
Safetensors
llama
ghost
tools
chat
unsloth
conversational
text-generation-inference
Instructions to use ghost-x/ghost-8b-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghost-x/ghost-8b-beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ghost-x/ghost-8b-beta") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ghost-x/ghost-8b-beta") model = AutoModelForCausalLM.from_pretrained("ghost-x/ghost-8b-beta", 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
- vLLM
How to use ghost-x/ghost-8b-beta with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ghost-x/ghost-8b-beta" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ghost-x/ghost-8b-beta", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ghost-x/ghost-8b-beta
- SGLang
How to use ghost-x/ghost-8b-beta 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 "ghost-x/ghost-8b-beta" \ --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": "ghost-x/ghost-8b-beta", "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 "ghost-x/ghost-8b-beta" \ --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": "ghost-x/ghost-8b-beta", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use ghost-x/ghost-8b-beta with Docker Model Runner:
docker model run hf.co/ghost-x/ghost-8b-beta
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### Specifications
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- Name: **Ghost 8B Beta (aka: Ghost 8B Beta
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- Version: **disl-0x5 (aka: d0x5)**.
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- Model size: 8 billion parameters.
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- Context length: 8K, 8192 / 128K, 131072.
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- License: [Ghost Open LLMs LICENSE](https://ghost-x.org/ghost-open-llms-license), [Llama 3 LICENSE](https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE).
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- Distributions: Standard (BF16), GGUF, AWQ.
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- Developed by: **Ghost X**, [Hieu Lam](https://huggingface.co/lamhieu).
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- Status: Moderating / Previewing.
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#### Links
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### Specifications
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- Name: **Ghost 8B Beta (aka: Llama 3 - Ghost 8B Beta)**.
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- Version: **disl-0x5 (aka: d0x5)**.
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- Model size: 8 billion parameters.
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- Context length: 8K, 8192 / 128K, 131072.
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- License: [Ghost Open LLMs LICENSE](https://ghost-x.org/ghost-open-llms-license), [Llama 3 LICENSE](https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE).
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- Distributions: Standard (BF16), GGUF, AWQ.
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- Developed by: **Ghost X**, [Hieu Lam](https://huggingface.co/lamhieu).
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#### Links
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