modelparams.dev
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Providers

Alibaba Anthropic Cohere DeepSeek Google Meta MiniMax Mistral Moonshot AI Nvidia OpenAI Perplexity xAI Xiaomi Z.ai

Providers

Alibaba Anthropic Cohere DeepSeek Google Meta MiniMax Mistral Moonshot AI Nvidia OpenAI Perplexity xAI Xiaomi Z.ai
Cohere 12 params

Cohere Command R7b 12 2024 parameters

These are the parameters modelparams.dev tracks for Cohere Command R7b 12 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.

Length 2 params
Parameter Type Default Description Condition
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
Parameter Type Default Description Condition
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. —
Tools 1 param
Parameter Type Default Description Condition
Tool choice
tool_choice 		enum (REQUIRED | NONE) — Forces the model to either call a tool or skip tool calls for this request. —
Output 1 param
Parameter Type Default Description Condition
Response format
response_format.type 		enum (text | json_object) "text" Controls whether the model returns normal text or JSON object output. —
Observability 1 param
Parameter Type Default Description Condition
Log probabilities
logprobs 		boolean false Controls whether the response includes log probabilities for the generated tokens. —
Metadata 1 param
Parameter Type Default Description Condition
Safety mode
safety_mode 		enum (CONTEXTUAL | STRICT) "CONTEXTUAL" Controls Cohere's built-in safety instructions applied to the generation. —

Cohere Command R7b 12 2024 API parameters in brief

Cohere Command R7b 12 2024 documents 12 API parameters, grouped by what they control:

Frequently asked questions

How many parameters does Cohere Command R7b 12 2024 accept?
Cohere Command R7b 12 2024 accepts 12 API parameters: max_tokens, stop_sequences, temperature, p, k, frequency_penalty, and more.
What is the default temperature for Cohere Command R7b 12 2024?
The default temperature for Cohere Command R7b 12 2024 is 0.3, with a minimum of 0.

Resources

All Cohere models Glossary Full catalog

Command R7b 12 2024 — JSON

The full model definition as served by the API. Copy it or open the endpoint directly.

/api/v1/models/cohere/command-r7b-12-2024.json 
{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "cohere",
  "authType": "api_key",
  "model": "command-r7b-12-2024",
  "params": [
    {
      "path": "max_tokens",
      "label": "Max tokens",
      "description": "Maximum number of output tokens the model may generate.",
      "group": "generation_length",
      "type": "integer",
      "range": {
        "min": 1
      }
    },
    {
      "path": "stop_sequences",
      "label": "Stop sequences",
      "description": "Stops generation when one of these sequences is detected; up to five are allowed.",
      "group": "generation_length",
      "type": "string"
    },
    {
      "path": "temperature",
      "label": "Temperature",
      "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied.",
      "group": "sampling",
      "type": "number",
      "default": 0.3,
      "range": {
        "min": 0,
        "step": 0.1
      }
    },
    {
      "path": "p",
      "label": "Top P",
      "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.",
      "group": "sampling",
      "type": "number",
      "default": 0.75,
      "range": {
        "min": 0.01,
        "max": 0.99,
        "step": 0.01
      }
    },
    {
      "path": "k",
      "label": "Top K",
      "description": "Limits sampling to the K most likely tokens; 0 disables top-k sampling.",
      "group": "sampling",
      "type": "integer",
      "default": 0,
      "range": {
        "min": 0,
        "max": 500
      }
    },
    {
      "path": "frequency_penalty",
      "label": "Frequency penalty",
      "description": "Penalizes tokens proportional to how often they have already appeared to reduce repetition.",
      "group": "sampling",
      "type": "number",
      "default": 0,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.1
      }
    },
    {
      "path": "presence_penalty",
      "label": "Presence penalty",
      "description": "Penalizes tokens that have already appeared to encourage a wider variety of content.",
      "group": "sampling",
      "type": "number",
      "default": 0,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.1
      }
    },
    {
      "path": "seed",
      "label": "Seed",
      "description": "Seed used for best-effort deterministic sampling when reproducible outputs are desired.",
      "group": "sampling",
      "type": "integer"
    },
    {
      "path": "response_format.type",
      "label": "Response format",
      "description": "Controls whether the model returns normal text or JSON object output.",
      "group": "output_format",
      "type": "enum",
      "default": "text",
      "values": [
        "text",
        "json_object"
      ]
    },
    {
      "path": "logprobs",
      "label": "Log probabilities",
      "description": "Controls whether the response includes log probabilities for the generated tokens.",
      "group": "observability",
      "type": "boolean",
      "default": false
    },
    {
      "path": "tool_choice",
      "label": "Tool choice",
      "description": "Forces the model to either call a tool or skip tool calls for this request.",
      "group": "tooling",
      "type": "enum",
      "values": [
        "REQUIRED",
        "NONE"
      ]
    },
    {
      "path": "safety_mode",
      "label": "Safety mode",
      "description": "Controls Cohere's built-in safety instructions applied to the generation.",
      "group": "provider_metadata",
      "type": "enum",
      "default": "CONTEXTUAL",
      "values": [
        "CONTEXTUAL",
        "STRICT"
      ]
    }
  ]
}

Other Cohere models

Command A 03 2025 12 params View Command A Plus 05 2026 12 params View Command A Reasoning 08 2025 14 params View Command A Translate 08 2025 12 params View Command A Vision 07 2025 12 params View Command R 08 2024 11 params View Command R Plus 08 2024 11 params View

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 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.

If you only need the params for one model contract, use the providerless endpoint. Subscription contracts are model slugs with -subscription. 

curl https://modelparams.dev/api/v1/params/gpt-5.5.json
curl https://modelparams.dev/api/v1/params/gpt-5.5-subscription.json

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