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---
base_model:
- NousResearch/Yarn-Mistral-7b-128k
- Test157t/Kunocchini-1.1-7b
library_name: transformers
tags:
- mistral
- quantized
- text-generation-inference
- merge
- mergekit
pipeline_tag: text-generation
inference: false
---
# **GGUF-Imatrix quantizations for [Test157t/Kunocchini-1.2-7b-longtext](https://huggingface.co/Test157t/Kunocchini-1.2-7b-longtext/).**
## "NOTES: This model seems to be overtly confident leading to hallucinations, normalization has seemed to also break the long context chaining. I do not recommend this model." Use the previous, Kunoccini-7B-128k-test, in [**this collection**](https://huggingface.co/collections/Lewdiculous/quantized-models-gguf-65d8399913d8129659604664).
SillyTavern preset files for the previous version are located [here](https://huggingface.co/Test157t/Kunocchini-7b-128k-test/tree/main/ST%20presets).
*If you want any specific quantization to be added, feel free to ask.*
All credits belong to the [creator](https://huggingface.co/Test157t/).
`Base⇢ GGUF(F16)⇢ Imatrix(F16)⇢ GGUF-Imatrix(Quants)`
The new **IQ3_S** merged today has shown to be better than the old Q3_K_S, but will only be supported in `koboldcpp-1.60` or newer.
Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2254](https://github.com/ggerganov/llama.cpp/releases/tag/b2254).
For --imatrix data, `imatrix-Kunocchini-1.2-7b-longtext-F16.dat` was used.
# Original model information:
Thanks to @Epiculous for the dope model/ help with llm backends and support overall.
Id like to also thank @kalomaze for the dope sampler additions to ST.
@SanjiWatsuki Thank you very much for the help, and the model!
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708).
### Models Merged
The following models were included in the merge:
* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) + [Test157t/Kunocchini-1.1-7b](https://huggingface.co/Test157t/Kunocchini-1.1-7b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: dare_ties
base_model: Test157t/Kunocchini-1.1-7b
parameters:
normalize: true
models:
- model: NousResearch/Yarn-Mistral-7b-128k
parameters:
weight: 1
- model: Test157t/Kunocchini-1.1-7b
parameters:
weight: 1
dtype: float16
``` |