antoinelyset / openhermes-2-mistral-7b

Simple version of https://huggingface.co/teknium/OpenHermes-2-Mistral-7B

  • Public
  • 244 runs
  • L40S
  • GitHub
  • Paper
  • License
Iterate in playground

Input

*string
Shift + Return to add a new line

The JSON stringified of the messages (array of objects with role/content like OpenAI) to predict on

integer
(minimum: 1)

Max new tokens

Default: 512

number
(minimum: 0.01, maximum: 5)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.75

number
(minimum: 0, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 0.9

integer
(minimum: 0)

When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens

Default: 50

Output

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Generated in

This output was created using a different version of the model, antoinelyset/openhermes-2-mistral-7b:8b1782b6.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Adaptation of https://huggingface.co/teknium/OpenHermes-2-Mistral-7B, this is my first test so it maybe a bit too simple.

I preferred to use OpenAI prompt format, and let apply_chat_template do the work:

[
  {"role": "system", "content": "You are a helpful assistant."},
  {"role": "user", "content": "Who won the world series in 2020?"},
  {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
  {"role": "user", "content": "Where was it played?"}
]