Skip to content

fix(genapi): redirection link to model catalog #4897

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Apr 29, 2025
Merged

fix(genapi): redirection link to model catalog #4897

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f993a0a
fix(genapi): redirection link to model catalog
fpagny Apr 25, 2025
f90d2a2
Update pages/generative-apis/faq.mdx
bene2k1 Apr 29, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions pages/generative-apis/faq.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,9 +55,9 @@ Note that in this example, the first line where the free tier applies will not d
## What is a token and how are they counted?
A token is the minimum unit of content that is seen and processed by a model. Hence, token definitions depend on input types:
- For text, on average, `1` token corresponds to `~4` characters, and thus `0.75` words (as words are on average five characters long)
- For images, `1` token corresponds to a square of pixels. For example, `pixtral-12b-2409` model image tokens of `16x16` pixels (16-pixel height, and 16-pixel width, hence `256` pixels in total).
- For images, `1` token corresponds to a square of pixels. For example, `mistral-small-3.1-24b-instruct-2503` model image tokens of `28x28` pixels (28-pixels height, and 28-pixels width, hence `784` pixels in total).

The exact token count and definition depend on [tokenizers](https://huggingface.co/learn/llm-course/en/chapter2/4) used by each model. When this difference is significant (such as for image processing), you can find detailed information in each model documentation (for instance in [`pixtral-12b-2409` size limit documentation](https://www.scaleway.com/en/docs/managed-inference/reference-content/pixtral-12b-2409/#frequently-asked-questions)). Otherwise, when the model is open, you can find this information in the model files on platforms such as Hugging Face, usually in the `tokenizer_config.json` file.
The exact token count and definition depend on [tokenizers](https://huggingface.co/learn/llm-course/en/chapter2/4) used by each model. When this difference is significant (such as for image processing), you can find detailed information in each model's documentation (for instance in [`mistral-small-3.1-24b-instruct-2503` size limit documentation](/managed-inference/reference-content/model-catalog/#mistral-small-31-24b-instruct-2503)). When the model is open, you can also find this information in the model files on platforms such as Hugging Face, usually in the `tokenizer_config.json` file.

## How can I monitor my token consumption?
You can see your token consumption in [Scaleway Cockpit](/cockpit/). You can access it from the Scaleway console under the [Metrics tab](https://console.scaleway.com/generative-api/metrics).
Expand Down