---
base_model: meta-llama/Meta-Llama-3-8B-Instruct
inference: false
model_creator: astronomer-io
model_name: Meta-Llama-3-8B-Instruct
model_type: llama
pipeline_tag: text-generation
prompt_template: >-
  {% set loop_messages = messages %}{% for message in loop_messages %}{% set
  content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>


  '+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set
  content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if
  add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>


  ' }}{% endif %}
quantized_by: davidxmle
license: other
license_name: llama-3-community-license
license_link: https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE
tags:
- llama
- llama-3
- facebook
- meta
- astronomer
- gptq
- pretrained
datasets:
- wikitext
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
    <div style="display: flex; flex-direction: column; align-items: flex-start;">
        <p style="margin-top: 0.5em; margin-bottom: 0em;"></p>
    </div>
    <div style="display: flex; flex-direction: column; align-items: flex-end;">
        <p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.linkedin.com/in/david-xue-uva/">Quantized by David Xue, ML Engineer @ Astronomer</a></p>
    </div>
</div>
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">This model is generously created and made open source by <a href="https://astronomer.io">Astronomer</a></p></div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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# Important Note Regarding a Known Bug in Llama 3
- Two files are modified to address a current issue regarding Llama 3 models keep on generating additional tokens non-stop until hitting max token limit.
- `generation_config.json`'s `eos_token_id` have been modified to add the other EOS token that Llama-3 uses.
- `tokenizer_config.json`'s `chat_template` has been modified to only add start generation token at the end of a prompt if `add_generation_prompt` is selected.
- For loading this model onto vLLM, make sure all requests have `"stop_token_ids":[128001, 128009]` to temporarily address the non-stop generation issue.
   - vLLM does not yet respect `generation_config.json`.
   - vLLM team is working on a a fix for this https://github.com/vllm-project/vllm/issues/4180

# Llama-3-8B-Instruct-GPTQ-8-Bit
- Model creator: [Meta Llama from Meta](https://huggingface.co/meta-llama)
- Original model: [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
- Built with Meta Llama 3

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## Description

This repo contains 8 Bit quantized GPTQ model files for [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).

<!-- description end -->

## GPTQ Quantization Method
| Branch | Bits | GS | Act Order | Damp % | GPTQ Dataset | Seq Len | VRAM Size | ExLlama | Desc |
| ------ | ---- | -- | --------- | ------ | ------------ | ------- | ---- | ------- | ---- |
| [main](https://huggingface.co/astronomer-io/Llama-3-8B-Instruct-GPTQ-8-Bit/tree/main) | 8 | 32 | Yes | 0.1 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 8192 | 9.09 GB | No | 8-bit, with Act Order and group size 32g. Minimum accuracy loss with decent VRAM usage reduction. | 
| More variants to come | TBD | TBD | TBD | TBD | TBD | TBD | TBD | TBD | May upload additional variants of GPTQ 8 bit models in the future using different parameters such as 128g group size and etc. |

## Serving this GPTQ model using vLLM
Tested with the below command
```
python -m vllm.entrypoints.openai.api_server --model Llama-3-8B-Instruct-GPTQ-8-Bit --port 8123 --max-model-len 8192 --dtype float16
```
For the non-stop token generation bug, make sure to send requests with `stop_token_ids":[128001, 128009]` to vLLM endpoint
Example:
```
{
    "model": "Llama-3-8B-Instruct-GPTQ-8-Bit",
    "messages": [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who created Llama 3?"}
        ],
    "max_tokens": 2000,
    "stop_token_ids":[128001,128009]
}
```