---
license: apache-2.0
pipeline_tag: text-generation
library_name: gguf
base_model: fblgit/UNA-SimpleSmaug-34b-v1beta
---
<u>**NOTE**</u>: You will need a recent build of llama.cpp to run these quants (i.e. at least commit `494c870`).

GGUF importance matrix (imatrix) quants for https://huggingface.co/fblgit/UNA-SimpleSmaug-34b-v1beta  
* The importance matrix was trained for ~50K tokens (105 batches of 512 tokens) using a [general purpose imatrix calibration dataset](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384).
* The [imatrix is being used on the K-quants](https://github.com/ggerganov/llama.cpp/pull/4930) as well.

| Layers | Context | [Template](https://huggingface.co/fblgit/UNA-SimpleSmaug-34b-v1beta/blob/main/tokenizer_config.json#L31) |
| --- | --- | --- |
| <pre>60</pre> | <pre>32768</pre> | <pre>\<\|startoftext\|\>[INST] \<\<SYS\>\><br>{instructions}<br>\<\</SYS\>\><br><br>{prompt} [INST]</pre> |