Text Generation
Transformers
Safetensors
English
mistral
finetune
Eval Results (legacy)
text-generation-inference
Instructions to use BlouseJury/Mistral-7B-Discord-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlouseJury/Mistral-7B-Discord-0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BlouseJury/Mistral-7B-Discord-0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BlouseJury/Mistral-7B-Discord-0.1") model = AutoModelForCausalLM.from_pretrained("BlouseJury/Mistral-7B-Discord-0.1") - Inference
- Local Apps Settings
- vLLM
How to use BlouseJury/Mistral-7B-Discord-0.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BlouseJury/Mistral-7B-Discord-0.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BlouseJury/Mistral-7B-Discord-0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BlouseJury/Mistral-7B-Discord-0.1
- SGLang
How to use BlouseJury/Mistral-7B-Discord-0.1 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 "BlouseJury/Mistral-7B-Discord-0.1" \ --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": "BlouseJury/Mistral-7B-Discord-0.1", "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 "BlouseJury/Mistral-7B-Discord-0.1" \ --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": "BlouseJury/Mistral-7B-Discord-0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BlouseJury/Mistral-7B-Discord-0.1 with Docker Model Runner:
docker model run hf.co/BlouseJury/Mistral-7B-Discord-0.1
- Xet hash:
- 5da2dec47c6ac0905166b4740829bfadcb99d07d9577249304607a9bdc8961a2
- Size of remote file:
- 4.54 GB
- SHA256:
- 5a7b52b8fca3d5eb8849f05d6acb3061dc392722c689f60a1a9ccf48ff06a5c0
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