output_folder
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: alchemonaut/QuartetAnemoi-70B-t0.0001
layer_range: [0, 80]
- model: lizpreciatior/lzlv_70b_fp16_hf
layer_range: [0, 80]
# or, the equivalent models: syntax:
# models:
# - model: psmathur/orca_mini_v3_13b
# - model: garage-bAInd/Platypus2-13B
merge_method: slerp
base_model: alchemonaut/QuartetAnemoi-70B-t0.0001
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
dtype: float16
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# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Noodlz/QLiz-70B"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Noodlz/QLiz-70B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'