Text Generation
Transformers
Safetensors
mistral
Merge
mergekit
vortexmergekit
Kukedlc/NeuralSirKrishna-7b
WizardLM/WizardMath-7B-V1.1
text-generation-inference
How to use from
vLLMUse Docker
docker model run hf.co/maxcurrent/NeuralKrishnaMathWizard-7BQuick Links
NeuralKrishnaMathWizard-7B
Hey there! 👋 Welcome to the NeuralKrishnaMathWizard-7B! This is a merge of multiple models brought together using the awesome VortexMerge kit.
Let's see what we've got in this merge:
🧩 Configuration
models:
- model: Kukedlc/NeuralSirKrishna-7b
parameters:
density: 0.9
weight: 0.5
- model: WizardLM/WizardMath-7B-V1.1
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Kukedlc/NeuralSirKrishna-7b
parameters:
normalize: true
int8_mask: true
dtype: float16
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "maxcurrent/NeuralKrishnaMathWizard-7B"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "maxcurrent/NeuralKrishnaMathWizard-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'