Text Generation
Transformers
Safetensors
Upper Grand Valley Dani
evo1
DNA
language-model
StripedHyena
Evo
Evo1.5
custom_code
Instructions to use Taykhoom/Evo1-1.5-7B-8K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/Evo1-1.5-7B-8K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Taykhoom/Evo1-1.5-7B-8K", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Taykhoom/Evo1-1.5-7B-8K", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Taykhoom/Evo1-1.5-7B-8K with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Taykhoom/Evo1-1.5-7B-8K" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Taykhoom/Evo1-1.5-7B-8K", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Taykhoom/Evo1-1.5-7B-8K
- SGLang
How to use Taykhoom/Evo1-1.5-7B-8K 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 "Taykhoom/Evo1-1.5-7B-8K" \ --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": "Taykhoom/Evo1-1.5-7B-8K", "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 "Taykhoom/Evo1-1.5-7B-8K" \ --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": "Taykhoom/Evo1-1.5-7B-8K", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Taykhoom/Evo1-1.5-7B-8K with Docker Model Runner:
docker model run hf.co/Taykhoom/Evo1-1.5-7B-8K
- Xet hash:
- 9e01f90018f00a4e35bc7c5e1b0c7ab99f9d53128d3804e3e5e9746bd6d16e34
- Size of remote file:
- 4.93 GB
- SHA256:
- 7f5ce86f31aaa6e14aee17cfb5da728d39cf7b2b2bf9083cab48e6216b2cb60a
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