Lambda AI

Overview

Property	Details
Description	Lambda AI provides access to a wide range of open-source language models through their cloud GPU infrastructure, optimized for inference at scale.
Provider Route on LiteLLM	`lambda_ai/`
Link to Provider Doc	Lambda AI API Documentation ↗
Base URL	`https://api.lambda.ai/v1`
Supported Operations	`/chat/completions`

https://docs.lambda.ai/api

We support ALL Lambda AI models, just set lambda_ai/ as a prefix when sending completion requests

Available Models

Lambda AI offers a diverse selection of state-of-the-art open-source models:

Large Language Models

Model	Description	Context Window
`lambda_ai/llama3.3-70b-instruct-fp8`	Llama 3.3 70B with FP8 quantization	8,192 tokens
`lambda_ai/llama3.1-405b-instruct-fp8`	Llama 3.1 405B with FP8 quantization	8,192 tokens
`lambda_ai/llama3.1-70b-instruct-fp8`	Llama 3.1 70B with FP8 quantization	8,192 tokens
`lambda_ai/llama3.1-8b-instruct`	Llama 3.1 8B instruction-tuned	8,192 tokens
`lambda_ai/llama3.1-nemotron-70b-instruct-fp8`	Llama 3.1 Nemotron 70B	8,192 tokens

DeepSeek Models

Model	Description	Context Window
`lambda_ai/deepseek-llama3.3-70b`	DeepSeek Llama 3.3 70B	8,192 tokens
`lambda_ai/deepseek-r1-0528`	DeepSeek R1 0528	8,192 tokens
`lambda_ai/deepseek-r1-671b`	DeepSeek R1 671B	8,192 tokens
`lambda_ai/deepseek-v3-0324`	DeepSeek V3 0324	8,192 tokens

Hermes Models

Model	Description	Context Window
`lambda_ai/hermes3-405b`	Hermes 3 405B	8,192 tokens
`lambda_ai/hermes3-70b`	Hermes 3 70B	8,192 tokens
`lambda_ai/hermes3-8b`	Hermes 3 8B	8,192 tokens

Coding Models

Model	Description	Context Window
`lambda_ai/qwen25-coder-32b-instruct`	Qwen 2.5 Coder 32B	8,192 tokens
`lambda_ai/qwen3-32b-fp8`	Qwen 3 32B with FP8	8,192 tokens

Vision Models

Model	Description	Context Window
`lambda_ai/llama3.2-11b-vision-instruct`	Llama 3.2 11B with vision capabilities	8,192 tokens

Specialized Models

Model	Description	Context Window
`lambda_ai/llama-4-maverick-17b-128e-instruct-fp8`	Llama 4 Maverick with 128k context	131,072 tokens
`lambda_ai/llama-4-scout-17b-16e-instruct`	Llama 4 Scout with 16k context	16,384 tokens
`lambda_ai/lfm-40b`	LFM 40B model	8,192 tokens
`lambda_ai/lfm-7b`	LFM 7B model	8,192 tokens

Required Variables

Environment Variables
os.environ["LAMBDA_API_KEY"] = ""  # your Lambda AI API key

Usage - LiteLLM Python SDK

Non-streaming

Lambda AI Non-streaming Completion
import os
import litellm
from litellm import completion

os.environ["LAMBDA_API_KEY"] = ""  # your Lambda AI API key

messages = [{"content": "Hello, how are you?", "role": "user"}]

# Lambda AI call
response = completion(
    model="lambda_ai/llama3.1-8b-instruct", 
    messages=messages
)

print(response)

Streaming

Lambda AI Streaming Completion
import os
import litellm
from litellm import completion

os.environ["LAMBDA_API_KEY"] = ""  # your Lambda AI API key

messages = [{"content": "Write a short story about AI", "role": "user"}]

# Lambda AI call with streaming
response = completion(
    model="lambda_ai/llama3.1-70b-instruct-fp8", 
    messages=messages,
    stream=True
)

for chunk in response:
    print(chunk)

Vision/Multimodal Support

The Llama 3.2 Vision model supports image inputs:

Lambda AI Vision/Multimodal
import os
import litellm
from litellm import completion

os.environ["LAMBDA_API_KEY"] = ""  # your Lambda AI API key

messages = [{
    "role": "user",
    "content": [
        {
            "type": "text",
            "text": "What's in this image?"
        },
        {
            "type": "image_url",
            "image_url": {
                "url": "https://example.com/image.jpg"
            }
        }
    ]
}]

# Lambda AI vision model call
response = completion(
    model="lambda_ai/llama3.2-11b-vision-instruct",
    messages=messages
)

print(response)

Function Calling

Lambda AI models support function calling:

Lambda AI Function Calling
import os
import litellm
from litellm import completion

os.environ["LAMBDA_API_KEY"] = ""  # your Lambda AI API key

# Define tools
tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Get the current weather in a location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {
                    "type": "string",
                    "description": "The city and state, e.g. San Francisco, CA"
                }
            },
            "required": ["location"]
        }
    }
}]

messages = [{"role": "user", "content": "What's the weather in Boston?"}]

# Lambda AI call with function calling
response = completion(
    model="lambda_ai/hermes3-70b",
    messages=messages,
    tools=tools,
    tool_choice="auto"
)

print(response)

Usage - LiteLLM Proxy Server

config.yaml
model_list:
  - model_name: llama-8b
    litellm_params:
      model: lambda_ai/llama3.1-8b-instruct
      api_key: os.environ/LAMBDA_API_KEY
  - model_name: deepseek-70b
    litellm_params:
      model: lambda_ai/deepseek-llama3.3-70b
      api_key: os.environ/LAMBDA_API_KEY
  - model_name: hermes-405b
    litellm_params:
      model: lambda_ai/hermes3-405b
      api_key: os.environ/LAMBDA_API_KEY
  - model_name: qwen-coder
    litellm_params:
      model: lambda_ai/qwen25-coder-32b-instruct
      api_key: os.environ/LAMBDA_API_KEY

Custom API Base

If you need to use a custom API base URL:

Custom API Base
import os
import litellm
from litellm import completion

# Using environment variable
os.environ["LAMBDA_API_BASE"] = "https://custom.lambda-api.com/v1"
os.environ["LAMBDA_API_KEY"] = ""  # your API key

# Or pass directly
response = completion(
    model="lambda_ai/llama3.1-8b-instruct",
    messages=[{"content": "Hello!", "role": "user"}],
    api_base="https://custom.lambda-api.com/v1",
    api_key="your-api-key"
)

Supported OpenAI Parameters

Lambda AI supports all standard OpenAI parameters since it's fully OpenAI-compatible:

temperature
max_tokens
top_p
frequency_penalty
presence_penalty
stop
n
stream
tools
tool_choice
response_format
seed
user
logit_bias

Example with parameters:

Lambda AI with Parameters
response = completion(
    model="lambda_ai/hermes3-405b",
    messages=[{"content": "Explain quantum computing", "role": "user"}],
    temperature=0.7,
    max_tokens=500,
    top_p=0.9,
    frequency_penalty=0.2,
    presence_penalty=0.1
)

Overview​

Available Models​

Large Language Models​

DeepSeek Models​

Hermes Models​

Coding Models​

Vision Models​

Specialized Models​

Required Variables​

Usage - LiteLLM Python SDK​

Non-streaming​

Streaming​

Vision/Multimodal Support​

Function Calling​

Usage - LiteLLM Proxy Server​

Custom API Base​

Supported OpenAI Parameters​