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metadata
license: apache-2.0
datasets:
  - teknium/openhermes
inference:
  parameters:
    do_sample: true
    renormalize_logits: true
    temperature: 0.25
    top_p: 0.95
    top_k: 50
    min_new_tokens: 2
    max_new_tokens: 96
    repetition_penalty: 1.1
    no_repeat_ngram_size: 6
    epsilon_cutoff: 0.0006
widget:
  - text: >
      Below is an instruction that describes a task, paired with an input that
      provides further context. Write a response that appropriately completes
      the request.  
         
      ### Instruction:  
        
      Write an ode to Chipotle burritos. 
        
      ### Response:  
    example_title: burritos

BEE-spoke-data/smol_llama-220M-openhermes

prompt format is alpaca

Below is an instruction that describes a task, paired with an input that
provides further context. Write a response that appropriately completes
the request.  

### Instruction:  

How can I increase my meme production/output? Currently, I only create them in ancient babylonian which is time consuming.  

### Inputs:

### Response:

It was trained on inputs so if you have inputs (like some text to ask a question about) then include it under ### Inputs:

Example

Output on the text above ^. The inference API is set to sample with low temp so you should see (at least slightly) different inputs each time.

image/png