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Llama3-OpenBioLLM-8B-GGUF

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 ---
base_model: aaditya/Llama3-OpenBioLLM-8B
tags:
- llama-3
- llama
- Mixtral
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- distillation
- TensorBlock
- GGUF
license: llama3
language:
- en
widget:
- example_title: OpenBioLLM-8B
messages:
- role: system
content: You are an expert and experienced from the healthcare and biomedical
domain with extensive medical knowledge and practical experience.
- role: user
content: How long does it take for newborn jaundice to go away?
output:
text: 'Newborn jaundice, also known as neonatal jaundice, is a common condition
in newborns where the yellowing of the skin and eyes occurs due to an elevated
level of bilirubin in the blood. Bilirubin is a yellow pigment that forms when
red blood cells break down. In most cases, newborn jaundice resolves on its
own without any specific treatment.
The duration of newborn jaundice can vary depending on several factors such
as the underlying cause, gestational age at birth, and individual variations
in bilirubin metabolism. Here are some general guidelines:
1. Physiological jaundice: This is the most common type of newborn jaundice
and usually appears within 24-72 hours after birth. It tends to peak between
the second and fifth day of life and gradually improves over the next week or
two. By the time the baby is one week old, the jaundice should have mostly resolved.
2. Breast milk jaundice: This type of jaundice occurs in breastfed babies and
may appear later than physiological jaundice, typically between the fifth and
fourteenth day of life. It tends to persist for a longer duration but usually
resolves within six weeks after birth. 3. Pathological jaundice: This type of
jaundice is less common and occurs due to an underlying medical condition that
affects bilirubin metabolism or liver function. The duration of pathological
jaundice depends on the specific cause and may require treatment.
It''s important for parents to monitor their newborn''s jaundice closely and
seek medical advice if the jaundice progresses rapidly, becomes severe, or is
accompanied by other symptoms such as poor feeding, lethargy, or excessive sleepiness.
In these cases, further evaluation and management may be necessary. Remember
that each baby is unique, and the timing of jaundice resolution can vary. If
you have concerns about your newborn''s jaundice, it''s always best to consult
with a healthcare professional for personalized advice and guidance.'
model-index:
- name: OpenBioLLM-8B
results: []
---
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
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## aaditya/Llama3-OpenBioLLM-8B - GGUF
This repo contains GGUF format model files for [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
## Our projects
<table border="1" cellspacing="0" cellpadding="10">
<tr>
<th colspan="2" style="font-size: 25px;">Forge</th>
</tr>
<tr>
<th colspan="2">
<img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
</th>
</tr>
<tr>
<th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
</tr>
<tr>
<th colspan="2">
<a href="https://github.com/TensorBlock/forge" target="_blank" style="
display: inline-block;
padding: 8px 16px;
background-color: #FF7F50;
color: white;
text-decoration: none;
border-radius: 6px;
font-weight: bold;
font-family: sans-serif;
">🚀 Try it now! 🚀</a>
</th>
</tr>
<tr>
<th style="font-size: 25px;">Awesome MCP Servers</th>
<th style="font-size: 25px;">TensorBlock Studio</th>
</tr>
<tr>
<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
</tr>
<tr>
<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
</tr>
<tr>
<th>
<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
display: inline-block;
padding: 8px 16px;
background-color: #FF7F50;
color: white;
text-decoration: none;
border-radius: 6px;
font-weight: bold;
font-family: sans-serif;
">👀 See what we built 👀</a>
</th>
<th>
<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
display: inline-block;
padding: 8px 16px;
background-color: #FF7F50;
color: white;
text-decoration: none;
border-radius: 6px;
font-weight: bold;
font-family: sans-serif;
">👀 See what we built 👀</a>
</th>
</tr>
</table>
## Prompt template
```
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Llama3-OpenBioLLM-8B-Q2_K.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
| [Llama3-OpenBioLLM-8B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q3_K_S.gguf) | Q3_K_S | 3.664 GB | very small, high quality loss |
| [Llama3-OpenBioLLM-8B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
| [Llama3-OpenBioLLM-8B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
| [Llama3-OpenBioLLM-8B-Q4_0.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Llama3-OpenBioLLM-8B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
| [Llama3-OpenBioLLM-8B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
| [Llama3-OpenBioLLM-8B-Q5_0.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Llama3-OpenBioLLM-8B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
| [Llama3-OpenBioLLM-8B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
| [Llama3-OpenBioLLM-8B-Q6_K.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
| [Llama3-OpenBioLLM-8B-Q8_0.gguf](https://huggingface.co/tensorblock/Llama3-OpenBioLLM-8B-GGUF/blob/main/Llama3-OpenBioLLM-8B-Q8_0.gguf) | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
## Downloading instruction
### Command line
Firstly, install Huggingface Client
```shell
pip install -U "huggingface_hub[cli]"
```
Then, downoad the individual model file the a local directory
```shell
huggingface-cli download tensorblock/Llama3-OpenBioLLM-8B-GGUF --include "Llama3-OpenBioLLM-8B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
```shell
huggingface-cli download tensorblock/Llama3-OpenBioLLM-8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```