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meta/meta-llama-3-70b
Base version of Llama 3, a 70 billion parameter language model from Meta.
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
frequency_penalty | number | Frequency penalty | 0.2 | — |
max_tokens | integer | The maximum number of tokens the model should generate as output. | 512 | — |
min_tokens | integer | The minimum number of tokens the model should generate as output. | 0 | — |
presence_penalty | number | Presence penalty | 1.15 | — |
prompt | string | Prompt | "" | — |
prompt_template | string | Prompt template. The string `{prompt}` will be substituted for the input prompt. If you want to generate dialog output, use this template as a starting point and construct the prompt string manually, leaving `prompt_template={prompt}`. | "{prompt}" | — |
temperature | number | The value used to modulate the next token probabilities. | 0.6 | — |
top_k | integer | 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). | 50 | — |
top_p | number | 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). | 0.9 | — |
frequency_penalty number Frequency penalty
0.2 max_tokens integer The maximum number of tokens the model should generate as output.
512 min_tokens integer The minimum number of tokens the model should generate as output.
0 presence_penalty number Presence penalty
1.15 prompt string Prompt
"" prompt_template string Prompt template. The string `{prompt}` will be substituted for the input prompt. If you want to generate dialog output, use this template as a starting point and construct the prompt string manually, leaving `prompt_template={prompt}`.
"{prompt}" temperature number The value used to modulate the next token probabilities.
0.6 top_k integer 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).
50 top_p number 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).
0.9 83c5bdea9941 Updated: 2/26/2026 855.7K runs