---
license: apache-2.0
language:
- en
base_model:
- allenai/OLMo-7B-0724-Instruct-hf
pipeline_tag: text2text-generation
datasets:
- allenai/tulu-v3.1-mix-preview-4096-OLMoE
---

## GGUF quantized version of OLMo-7B-0724-Instruct Model

project original source: [base model](https://huggingface.co./allenai/OLMo-7B-0724-Instruct-hf)

Q_2_K (not nice)

Q_3_K_S (acceptable)

Q_3_K_M is acceptable (good for running with CPU)

Q_3_K_L (acceptable)

Q_4_K_S (okay)

Q_4_K_M is recommanded (balance)

Q_5_K_S (good)

Q_5_K_M (good in general)

Q_6_K is good also; if you want a better result; take this one instead of Q_5_K_M

Q_8_0 which is very good; need a reasonable size of RAM otherwise you might expect a long wait

f16 is similar to the original hf model; opt this one or hf also fine; make sure you have a good machine

### how to run it

use any connector for interacting with gguf; i.e., [gguf-connector](https://pypi.org/project/gguf-connector/)

<img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
this picture is from the base model