modelparams.dev
API GitHub
Cohere 11 params

Cohere Command R Plus 08 2024 parameters

These are the parameters modelparams.dev tracks for Cohere Command R Plus 08 2024. Each row gives the type, default, valid range or values, and the conditions that gate it. It's the same data the JSON API serves.

Parameter Type Default Description Condition
Length · 2 params
Max tokens
max_tokens
integer (1…+∞) Maximum number of output tokens the model may generate.
Stop sequences
stop_sequences
string Stops generation when one of these sequences is detected; up to five are allowed.
Sampling · 6 params
Temperature
temperature
number (0…+∞ step 0.1) 0.3 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Top P
p
number (0.01…0.99 step 0.01) 0.75 Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
Top K
k
integer (0…500) 0 Limits sampling to the K most likely tokens; 0 disables top-k sampling.
Frequency penalty
frequency_penalty
number (0…1 step 0.1) 0 Penalizes tokens proportional to how often they have already appeared to reduce repetition.
Presence penalty
presence_penalty
number (0…1 step 0.1) 0 Penalizes tokens that have already appeared to encourage a wider variety of content.
Seed
seed
integer Seed used for best-effort deterministic sampling when reproducible outputs are desired.
Output · 1 param
Response format
response_format.type
enum (text | json_object) "text" Controls whether the model returns normal text or JSON object output.
Observability · 1 param
Log probabilities
logprobs
boolean false Controls whether the response includes log probabilities for the generated tokens.
Metadata · 1 param
Safety mode
safety_mode
enum (CONTEXTUAL | STRICT | OFF) "CONTEXTUAL" Controls Cohere's built-in safety instructions applied to the generation.
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How to use

Building with an AI agent? Hit Copy to grab this whole guide as Markdown and paste it in — or point your agent straight at /llms.txt.

modelparams.dev is an open, community-maintained catalog of LLM model parameters. Each entry shows the knobs you can turn — type, default, range, and the conditions that gate it.

The same model accessed via an API key and via a subscription usually exposes a different set of parameters. We list both as separate entries so the data stays honest.

Catalog API

The full catalog is static JSON, CORS-enabled, served from the edge.

curl https://modelparams.dev/api/v1/models.json

Each entry is keyed by provider/model for API-key variants; subscription variants append -subscription.

Single model

curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7.json
curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7-subscription.json

JSON Schema

Every entry validates against a JSON Schema you can use in your editor or pipeline.

curl https://modelparams.dev/api/v1/schema.json

Add this header to any YAML you author for autocomplete in VS Code:

# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json

Logos

Provider logos are available at /assets/logos/{provider}.svg where {provider} is the provider slug. They use currentColor so they inherit your text color.

curl https://modelparams.dev/assets/logos/anthropic.svg

Logos are sourced from the models.dev repo (MIT) and used under nominative fair use.

Contribute

The data lives in YAML under models/{provider}/{model}-{auth}.yaml in the GitHub repo. Open a PR; CI validates against the schema and rebuilds.

Edit on GitHub MIT licensed