README.md

---
base_model: grimjim/kukulemon-spiked-9B
library_name: transformers
quanted_by: grimjim
license: cc-by-nc-4.0
pipeline_tag: text-generation
---
# kululemon-spiked-9B-GGUF

This repository contains GGUF quants of [kululemon-spiked-9B](https://huggingface.co/grimjim/kukulemon-spiked-9B).

The model a frankenmerge of a pre-trained language model created using [mergekit](https://github.com/cg123/mergekit). As an experiment, this appears to be a partial success.

Lightly tested with temperature 1 and minP 0.01 with ChatML prompts; the model supports Alpaca prompts and has solid 8K context length, a result of its Mistral v0.1 provenance. The model's output has been coherent and stable during aforementioned testing.

The merge formula for this frankenmerge is below. It is conjectured that the shorter first section is not key to variation, the middle segment is key to balancing reasoning and variation, and that the lengthy final section is required for convergence and eventual stability. The internal instability is probably better suited for narrative involving unstable and/or unhinged characters and situations.

- Full weights: [grimjim/kukulemon-spiked-9B](https://huggingface.co/grimjim/kukulemon-spiked-9B)
- 8.0bpw h8 exl2 quant: [grimjim/kukulemon-spiked-9B-8.0bpw_h8_exl2](https://huggingface.co/grimjim/kukulemon-spiked-9B-8.0bpw_h8_exl2)

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [grimjim/kukulemon-7B](https://huggingface.co/grimjim/kukulemon-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: grimjim/kukulemon-7B
      layer_range: [0, 12]
  - sources:
    - model: grimjim/kukulemon-7B
      layer_range: [8, 16]
  - sources:
    - model: grimjim/kukulemon-7B
      layer_range: [12, 32]
merge_method: passthrough
dtype: float16

```