---
license: llama3.3
model_name: Llama-3.3-70B-Instruct
base_model: meta-llama/Llama-3.3-70B-Instruct
model_creator: meta-llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
library_name: transformers
language:
- en
- fr
- it
- pt
- hi
- es
- th
- de
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
---

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# Llama-3.3-70B-Instruct-GGUF

## Original Model

[meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)

## Run with LlamaEdge

- LlamaEdge version: [v0.14.17](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.17) and above

- Prompt template

  - Prompt type: `llama-3-chat`

  - Prompt string

    ```text
    <|begin_of_text|><|start_header_id|>system<|end_header_id|>

    {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>

    {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

    {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>

    {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
    ```

- Context size: `128000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.3-70B-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template llama-3-chat \
    --ctx-size 128000 \
    --model-name Llama-3-70b
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.3-70B-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template llama-3-chat \
    --ctx-size 128000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Llama-3.3-70B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 26.4 GB| smallest, significant quality loss - not recommended for most purposes |
| [Llama-3.3-70B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 37.1 GB| small, substantial quality loss |
| [Llama-3.3-70B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 34.3 GB| very small, high quality loss |
| [Llama-3.3-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 30.9 GB| very small, high quality loss |
| [Llama-3.3-70B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 40.0 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Llama-3.3-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 42.5 GB| medium, balanced quality - recommended |
| [Llama-3.3-70B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 40.3 GB| small, greater quality loss |
| [Llama-3.3-70B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 48.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Llama-3.3-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 49.9 GB| large, very low quality loss - recommended |
| [Llama-3.3-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 48.7 GB| large, low quality loss - recommended |
| [Llama-3.3-70B-Instruct-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q6_K-00001-of-00002.gguf)     | Q6_K   | 6 | 29.9 GB| very large, extremely low quality loss |
| [Llama-3.3-70B-Instruct-Q6_K-00002-of-00002.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q6_K-00002-of-00002.gguf)     | Q6_K   | 6 | 28.0 GB| very large, extremely low quality loss |
| [Llama-3.3-70B-Instruct-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00001-of-00003.gguf)     | Q8_0   | 8 | 29.9 GB| very large, extremely low quality loss - not recommended |
| [Llama-3.3-70B-Instruct-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00002-of-00003.gguf)     | Q8_0   | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
| [Llama-3.3-70B-Instruct-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-Q8_0-00003-of-00003.gguf)     | Q8_0   | 8 | 15.3 GB| very large, extremely low quality loss - not recommended |
| [Llama-3.3-70B-Instruct-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00001-of-00005.gguf)     | f16   | 16 | 30.0 GB|  |
| [Llama-3.3-70B-Instruct-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00002-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
| [Llama-3.3-70B-Instruct-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00003-of-00005.gguf)     | f16   | 16 | 29.9 GB|  |
| [Llama-3.3-70B-Instruct-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00004-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
| [Llama-3.3-70B-Instruct-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Llama-3.3-70B-Instruct-GGUF/blob/main/Llama-3.3-70B-Instruct-f16-00005-of-00005.gguf)     | f16   | 16 | 22.2 GB|  |

*Quantized with llama.cpp b4273.*