tomasmcm/mistral-trismegistus-7b πŸ”’πŸ“ β†’ πŸ“

▢️ 603 runs πŸ“… Oct 2023 βš™οΈ Cog 0.8.6 πŸ“„ Paper βš–οΈ License
esoteric fast-performance occult question-answering spiritual text-generation

About

Source: teknium/Mistral-Trismegistus-7B ✦ Quant: TheBloke/Mistral-Trismegistus-7B-AWQ ✦ Mistral Trismegistus is a model made for people interested in the esoteric, occult, and spiritual

Example Output

Prompt:

"USER: What is the philosopher’s stone, really?
ASSISTANT:"

Output

The philosopher's stone, also known as the magnum opus or the great work, is a legendary substance that was purported to possess the power of turning base metals into gold and bestowing immortality on its possessor. It has been sought after by alchemists for centuries, and its discovery was thought to be the key to unlocking the secrets of the universe. To understand what the philosopher's stone really is, it's essential to delve into its history, benefits, and connection to alchemy.

History:
The concept of the philosopher's stone

Performance Metrics

1.73s Prediction Time
117.27s Total Time
All Input Parameters
{
  "top_k": 50,
  "top_p": 0.95,
  "prompt": "USER: What is the philosopher’s stone, really?\nASSISTANT:\n",
  "temperature": 0.8,
  "max_new_tokens": 128,
  "presence_penalty": 1
}
Input Parameters
top_k Type: integerDefault: 50
The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).
top_p Type: numberDefault: 0.95Range: 0.01 - 1
A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).
prompt (required) Type: string
Text prompt to send to the model.
temperature Type: numberDefault: 0.8Range: 0.01 - 5
The value used to modulate the next token probabilities.
max_new_tokens Type: integerDefault: 128
The maximum number of tokens the model should generate as output.
presence_penalty Type: numberDefault: 1Range: 0.01 - 5
Presence penalty
Output Schema

Output

Type: string

Example Execution Logs
Processed prompts:   0%|          | 0/1 [00:00<?, ?it/s]
Processed prompts: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:01<00:00,  1.58s/it]
Processed prompts: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:01<00:00,  1.58s/it]
Generated 128 tokens in 1.5805423259735107 seconds.
Version Details
Version ID
645e682e1c915509bf8f64059a13e84ddd837e8209cfbe56ca0750604018dc88
Version Created
October 23, 2023
Run on Replicate β†’