---
base_model: []
library_name: transformers
tags:
- mergekit
- merge

---
# EVA-Tissint-v1.1-14B

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

New merge of [EVA v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2), now using [Tissint v1.1](https://huggingface.co/Ttimofeyka/Tissint-14B-v1.1-128k-RP). Hopefully the new version of Tissint and slight change of merge settings make an improvement over the first iteration.

I recommend the samplers provided on Tissint's model card. 

If you'd like to use XTC, I recommend a threshold of 0.2. Lower thresholds seem to adversely affect the coherency.

# Quantisations

Static: https://huggingface.co/mradermacher/EVA-Tissint-v1.1-14B-GGUF

Imatrix: https://huggingface.co/mradermacher/EVA-Tissint-v1.1-14B-i1-GGUF

### Merge Method

This model was merged using the della_linear merge method using EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 as a base.

### Models Merged

The following models were included in the merge:
* Ttimofeyka/Tissint-14B-v1.1-128k-RP

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
    - model: Ttimofeyka/Tissint-14B-v1.1-128k-RP
      parameters:
        density: 0.45
        weight: 0.3
    - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
      parameters:
        density: 0.55
        weight: 0.7

merge_method: della_linear
base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
parameters:
    epsilon: 0.05
    lambda: 1
dtype: bfloat16

```