|
--- |
|
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 |
