Instructions to use OnlyCheeini/Llama-Discore-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OnlyCheeini/Llama-Discore-chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OnlyCheeini/Llama-Discore-chat")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OnlyCheeini/Llama-Discore-chat", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use OnlyCheeini/Llama-Discore-chat with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OnlyCheeini/Llama-Discore-chat" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OnlyCheeini/Llama-Discore-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OnlyCheeini/Llama-Discore-chat
- SGLang
How to use OnlyCheeini/Llama-Discore-chat 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 "OnlyCheeini/Llama-Discore-chat" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OnlyCheeini/Llama-Discore-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "OnlyCheeini/Llama-Discore-chat" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OnlyCheeini/Llama-Discore-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OnlyCheeini/Llama-Discore-chat with Docker Model Runner:
docker model run hf.co/OnlyCheeini/Llama-Discore-chat
Upload 2 files
Browse files- adapter_config.json +21 -0
- adapter_model.bin +3 -0
adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:be6a2a2b2bd37ced09537af9c7f31a9b23029fa2ea9573fb155fd2d1745ab1d1
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size 134264202
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