meta-llama/llama-3.3-70b-instruct
Meta's powerful 70B parameter model quantized to FP8 for fast inference. Excellent for complex reasoning and multilingual tasks.
Meta's Muse Spark 1.2 checkpoint on the contributor tier: heavily discounted pricing in exchange for permission to train future Meta models on your prompts and completions.
meta-llama/muse-spark-1.2-contributorCreate an account, top up in dinars and call it with your key:
from openai import OpenAI
client = OpenAI(
base_url="https://dztokens.com/v1",
api_key="sk-dz-…",
)
reply = client.chat.completions.create(
model="meta-llama/muse-spark-1.2-contributor",
messages=[{"role": "user", "content": "Salam!"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://dztokens.com/v1",
apiKey: process.env.DZTOKENS_API_KEY,
});
const reply = await client.chat.completions.create({
model: "meta-llama/muse-spark-1.2-contributor",
messages: [{ role: "user", content: "Salam!" }],
});
console.log(reply.choices[0].message.content);curl https://dztokens.com/v1/chat/completions \
-H "Authorization: Bearer $DZTOKENS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/muse-spark-1.2-contributor",
"messages": [{"role": "user", "content": "Salam!"}],
"stream": true
}'from anthropic import Anthropic
client = Anthropic(
base_url="https://dztokens.com",
api_key="sk-dz-…",
)
msg = client.messages.create(
model="meta-llama/muse-spark-1.2-contributor",
max_tokens=1024,
messages=[{"role": "user", "content": "Salam!"}],
)
print(msg.content[0].text)meta-llama/llama-3.3-70b-instruct
Meta's powerful 70B parameter model quantized to FP8 for fast inference. Excellent for complex reasoning and multilingual tasks.
meta-llama/llama-3.2-3b-instruct
Meta's compact 3B parameter model optimized for edge deployment and multilingual dialogue. Great balance of speed and capability.
meta-llama/muse-spark-1.1
Meta's Muse Spark reasoning model with a 1M-token context window. Supports image input, tool calling, web search, and structured output.
meta-llama/muse-spark-1.2
Meta's updated Muse Spark reasoning checkpoint with a 1M-token context window. Supports image input, tool calling, web search, and structured output.
meta-llama/muse-spark-1.3
Meta's latest Muse Spark checkpoint, tuned for agentic multi-step tool workflows and improved coding over 1.2, with a 1M-token context window. Supports image and PDF input, tool calling, web search, and structured output.
meta-llama/muse-spark-1.3-contributor
Meta's Muse Spark 1.3 checkpoint on the contributor tier: heavily discounted pricing in exchange for permission to train future Meta models on your prompts and completions.
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