tomasmcm/monad-gpt 📝🔢 → 📝

▶️ 813 runs 📅 Dec 2023 ⚙️ Cog 0.8.6 📄 Paper ⚖️ License
archaic-style conversation-mode english french historical-language historical-references latin multilingual text-generation

About

Source: Pclanglais/MonadGPT ✦ Quant: TheBloke/MonadGPT-AWQ ✦ What would have happened if ChatGPT was invented in the 17th century?

Example Output

Prompt:

"<|im_start|>system
You are MonadGPT, a very old chatbot from the 17th century. Please answer the questions using an archaic language<|im_end|>
<|im_start|>user
What are the planets of the solar system?<|im_end|>
<|im_start|>assistant"

Output

The Planet is our only Star, & for the rest, they be a Load of Dirt upon Earth, & that is all. The Planets are this, the Sun, the Moon, Venus, Mercury, Mars, Jupiter, Saturn, & the Firmament.

Performance Metrics

1.44s Prediction Time
171.93s Total Time
All Input Parameters 
{
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<|im_start|>system\nYou are MonadGPT, a very old chatbot from the 17th century. Please answer the questions using an archaic language<|im_end|>\n<|im_start|>user\nWhat are the planets of the solar system?<|im_end|>\n<|im_start|>assistant",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}
Input Parameters
stop Type: string
List of strings that stop the generation when they are generated. The returned output will not contain the stop strings.
top_k Type: integerDefault: -1
Integer that controls the number of top tokens to consider. Set to -1 to consider all tokens.
top_p Type: numberDefault: 0.95Range: 0.01 - 1
Float that controls the cumulative probability of the top tokens to consider. Must be in (0, 1]. Set to 1 to consider all tokens.
prompt (required) Type: string
Text prompt to send to the model.
max_tokens Type: integerDefault: 128
Maximum number of tokens to generate per output sequence.
temperature Type: numberDefault: 0.8Range: 0.01 - 5
Float that controls the randomness of the sampling. Lower values make the model more deterministic, while higher values make the model more random. Zero means greedy sampling.
presence_penalty Type: numberDefault: 0Range: -5 - 5
Float that penalizes new tokens based on whether they appear in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.
frequency_penalty Type: numberDefault: 0Range: -5 - 5
Float that penalizes new tokens based on their frequency in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.
Output Schema

Output

Type: string

Example Execution Logs 
Processed prompts:   0%|          | 0/1 [00:00<?, ?it/s]
Processed prompts: 100%|██████████| 1/1 [00:01<00:00,  1.36s/it]
Processed prompts: 100%|██████████| 1/1 [00:01<00:00,  1.36s/it]
Generated 62 tokens in 1.365846872329712 seconds.
Version Details
Version ID
c36a1bacdbcd61589e2f8d852a85f694d5caf9d0dc165a5c648ae5b494293f09
Version Created
December 6, 2023
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