Text Generation
Transformers
Safetensors
Upper Grand Valley Dani
evo2
DNA
language-model
StripedHyena2
Evo2
custom_code
Instructions to use Taykhoom/Evo2-7B-262K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/Evo2-7B-262K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Taykhoom/Evo2-7B-262K", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Taykhoom/Evo2-7B-262K", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Taykhoom/Evo2-7B-262K with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Taykhoom/Evo2-7B-262K" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Taykhoom/Evo2-7B-262K", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Taykhoom/Evo2-7B-262K
- SGLang
How to use Taykhoom/Evo2-7B-262K 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/Evo2-7B-262K" \ --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/Evo2-7B-262K", "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/Evo2-7B-262K" \ --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/Evo2-7B-262K", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Taykhoom/Evo2-7B-262K with Docker Model Runner:
docker model run hf.co/Taykhoom/Evo2-7B-262K
Add model_max_length; note context-extension capability in README
Browse files- config.json +2 -1
config.json
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@@ -103,5 +103,6 @@
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"use_fp8_input_projections": false,
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"use_interpolated_rotary_pos_emb": true,
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"use_laughing_hyena": false,
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-
"vocab_size": 512
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}
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| 103 |
"use_fp8_input_projections": false,
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"use_interpolated_rotary_pos_emb": true,
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"use_laughing_hyena": false,
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"vocab_size": 512,
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| 107 |
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"model_max_length": 262144
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}
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