Text Generation
Transformers
Safetensors
mistral
Merge
mergekit
lazymergekit
macadeliccc/WestLake-7B-v2-laser-truthy-dpo
FelixChao/WestSeverus-7B-DPO-v2
FelixChao/Faraday-7B
text-generation-inference
4-bit precision
awq
Instructions to use solidrust/Darcy-7b-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solidrust/Darcy-7b-AWQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="solidrust/Darcy-7b-AWQ")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("solidrust/Darcy-7b-AWQ") model = AutoModelForCausalLM.from_pretrained("solidrust/Darcy-7b-AWQ") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use solidrust/Darcy-7b-AWQ with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "solidrust/Darcy-7b-AWQ" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "solidrust/Darcy-7b-AWQ", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/solidrust/Darcy-7b-AWQ
- SGLang
How to use solidrust/Darcy-7b-AWQ 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 "solidrust/Darcy-7b-AWQ" \ --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": "solidrust/Darcy-7b-AWQ", "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 "solidrust/Darcy-7b-AWQ" \ --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": "solidrust/Darcy-7b-AWQ", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use solidrust/Darcy-7b-AWQ with Docker Model Runner:
docker model run hf.co/solidrust/Darcy-7b-AWQ
Create quant_config.json
Browse files- quant_config.json +1 -2
quant_config.json
CHANGED
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"zero_point": true,
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"q_group_size": 128,
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"w_bit": 4,
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"version": "GEMM"
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"modules_to_not_convert": null
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}
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"zero_point": true,
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"q_group_size": 128,
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"w_bit": 4,
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"version": "GEMM"
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}
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