---
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: []
---

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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).

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  </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'
```