---
title: Llama 3.3 70B Instruct FP8 Lora | Text Generation | ModelsLab
description: Build with Llama 3.3 70B Instruct FP8 Lora API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab.com/models/meta-llama/meta-llama-llama-3.3-70b-instruct-fp8-lora.md
canonical: https://modelslab.com/models/meta-llama/meta-llama-llama-3.3-70b-instruct-fp8-lora.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-20T04:12:20.004951Z
---

Llama 3.3 70B Instruct FP8 Lora
---

 [LLMs.txt](https://modelslab.com/models/together_ai/meta-llama-Llama-3.3-70B-Instruct-FP8-Lora/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-Llama-3.3-70B-Instruct-FP8-Lora.md)

meta-llama-Llama-3.3-70B-Instruct-FP8-Lora meta-llama Closed Source Model

Llama 3.3 70B Instruct FP8 Lora
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### Llama 3.3 70B Instruct FP8 Lora

meta-llama meta-llama-Llama-3.3-70B-Instruct-FP8-Lora

Copy model ID

PricingInput $0.00 / 1M tokens

Output $0.00 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab.com/models?feature=llmaster)

[![Magistral Small 2506](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/cb8d8270-60af-40d4-8142-9d8dc22b34ca.png)](https://modelslab.com/models/together_ai/mistralai-Magistral-Small-2506)[Together AI](https://modelslab.com/models/together_ai)

 [Magistral Small 2506

Closed Source Model](https://modelslab.com/models/together_ai/mistralai-Magistral-Small-2506)

[RS](https://modelslab.com/models/open_router/undi95-remm-slerp-l2-13b)[Open Router](https://modelslab.com/models/open_router)

 [ReMM SLERP 13B

Closed Source Model](https://modelslab.com/models/open_router/undi95-remm-slerp-l2-13b)

[![Gemma 3 270M It Lora](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/56ff82ba-7093-4295-8cfc-9a05fa7a8b30.png)](https://modelslab.com/models/together_ai/google-gemma-3-270m-it-lora)[Together AI](https://modelslab.com/models/together_ai)

 [Gemma 3 270M It Lora

Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-3-270m-it-lora)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3.5-397b-a17b)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3.5 397B A17B

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.5-397b-a17b)

[AA](https://modelslab.com/models/open_router/aion-labs-aion-1.0)[Open Router](https://modelslab.com/models/open_router)

 [AionLabs: Aion-1.0

Closed Source Model](https://modelslab.com/models/open_router/aion-labs-aion-1.0)

[ZG](https://modelslab.com/models/open_router/z-ai-glm-4.7)[Open Router](https://modelslab.com/models/open_router)

 [Z.ai: GLM 4.7

Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.7)

[![OpenAI: GPT-4o (2024-08-06)](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/9182c4bd-c5ba-4667-9e3e-b76278f9d5b8.png)](https://modelslab.com/models/open_router/openai-gpt-4o-2024-08-06)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-4o (2024-08-06)

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-2024-08-06)

[![Deepseek OCR 2](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/c9141e10-8e50-4fd7-b72f-78aedebdd7ed.png)](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-OCR-2)[Together AI](https://modelslab.com/models/together_ai)

 [Deepseek OCR 2

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-OCR-2)

[![Google: Gemma 4 26B A4B ](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/d5350858-bef1-491a-9876-039a65b84f2d.png)](https://modelslab.com/models/open_router/google-gemma-4-26b-a4b-it)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 4 26B A4B

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-4-26b-a4b-it)

[![Qwen 2.5 Coder 32B Instruct](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/d69ed8fc-70f1-4897-a128-eaab5d246da8.png)](https://modelslab.com/models/qwen/Qwen-Qwen2.5-Coder-32B-Instruct)[ModelsLab](https://modelslab.com/models/qwen)

 [Qwen 2.5 Coder 32B Instruct

Closed Source Model](https://modelslab.com/models/qwen/Qwen-Qwen2.5-Coder-32B-Instruct)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-235b-a22b-2507)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 235B A22B Instruct 2507

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-235b-a22b-2507)

[![Qwen2.5 32B](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/c53c3c66-6f05-4823-8328-bc63e9f1b54d.png)](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-32B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5 32B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-32B)

[DV](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-V3)[ModelsLab](https://modelslab.com/models/deepseek)

 [DeepSeek V3-0324

Closed Source Model](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-V3)

[NA](https://modelslab.com/models/open_router/nex-agi-deepseek-v3.1-nex-n1)[Open Router](https://modelslab.com/models/open_router)

 [Nex AGI: DeepSeek V3.1 Nex N1

Closed Source Model](https://modelslab.com/models/open_router/nex-agi-deepseek-v3.1-nex-n1)

[![Llama 4 Scout Instruct (17Bx16E)](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/854d06dd-0138-45dc-8fca-0139390e8be4.png)](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)[ModelsLab](https://modelslab.com/models/meta)

 [Llama 4 Scout Instruct (17Bx16E)

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[![DeepSeek R1 Distill Qwen 14B](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/3ed8dd8e-8bef-4bf5-b700-4a51c78f973a.png)](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)[ModelsLab](https://modelslab.com/models/deepseek)

 [DeepSeek R1 Distill Qwen 14B

Closed Source Model](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)

[![Mistral Small (24B) Instruct 25.01](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/6115acd8-47bd-42af-9ad1-b8e6f9672200.png)](https://modelslab.com/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501)[ModelsLab](https://modelslab.com/models/mistral_ai)

 [Mistral Small (24B) Instruct 25.01

Closed Source Model](https://modelslab.com/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501)

[![Cogito V1 Preview Llama 70B](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/14839206-9b37-41b4-8f0d-0788fc0dc883.png)](https://modelslab.com/models/together_ai/deepcogito-cogito-v1-preview-llama-70B)[Together AI](https://modelslab.com/models/together_ai)

 [Cogito V1 Preview Llama 70B

Closed Source Model](https://modelslab.com/models/together_ai/deepcogito-cogito-v1-preview-llama-70B)

About Llama 3.3 70B Instruct FP8 Lora
---

Llama 3.3 70B Instruct FP8 Lora is a text generation AI model by Meta Llama available on ModelsLab. Access Llama 3.3 70B Instruct FP8 Lora through our API with pay-per-use pricing and no minimum commitments.

### Technical Specifications

Model IDmeta-llama-Llama-3.3-70B-Instruct-FP8-LoraCategoryLLM ModelsTaskText GenerationAddedMay 7, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Llama 3.3 70B Instruct FP8 Lora into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "meta-llama-Llama-3.3-70B-Instruct-FP8-Lora",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Meta Llama](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Llama 3.3 70B Instruct FP8 Lora FAQ
---

### What is Llama 3.3 70B Instruct FP8 Lora?

Llama 3.3 70B Instruct FP8 Lora is a text generation AI model by Meta Llama available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments.

### How do I use the Llama 3.3 70B Instruct FP8 Lora API?

You can integrate Llama 3.3 70B Instruct FP8 Lora into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "meta-llama-Llama-3.3-70B-Instruct-FP8-Lora" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### What is the Llama 3.3 70B Instruct FP8 Lora model ID?

The model ID for Llama 3.3 70B Instruct FP8 Lora is "meta-llama-Llama-3.3-70B-Instruct-FP8-Lora". Use this ID in your API requests to specify this model.

### Does Llama 3.3 70B Instruct FP8 Lora have a free tier?

Yes, ModelsLab offers a free tier that lets you try Llama 3.3 70B Instruct FP8 Lora and other AI models. Sign up to get free API credits and start building immediately.

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-05-20*