Llama 3.1 70B Instruct

Meta Generally Available

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

Context
131K
tokens
Input
$0.40
per MTok
Output
$0.40
per MTok

About

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

Modalities

Input
Text
Output
Text

Code Examples

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/llama-3.1-70b-instruct \
  -H "Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      { "role": "system", "content": "You are a helpful assistant." },
      { "role": "user", "content": "Explain quantum entanglement in one sentence." }
    ]
  }'

API Parameters

Temperature: 0 – 5
Name Type Description
messages required array An array of message objects representing the conversation history.
prompt required string The input text prompt for the model to generate a response.
frequency_penalty number Decreases the likelihood of the model repeating the same lines verbatim.
functions deprecated array Deprecated. Use tools.
image one of
lora string Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.
max_tokens integer The maximum number of tokens to generate in the response.
presence_penalty number Increases the likelihood of the model introducing new topics.
raw boolean If true, a chat template is not applied and you must adhere to the specific model's expected formatting.
repetition_penalty number Penalty for repeated tokens; higher values discourage repetition.
seed integer Random seed for reproducibility of the generation.
stream boolean If true, the response will be streamed back incrementally using SSE, Server Sent Events.
temperature number Controls the randomness of the output; higher values produce more random results.
tools array A list of tools available for the assistant to use.
top_k integer Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.
top_p number Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.

Sourced from the model's published API schema.