README.md

---
base_model:
- 152334H/miqu-1-70b-sf
- lizpreciatior/lzlv_70b_fp16_hf
language:
- en
- de
- fr
- es
- it
library_name: transformers
tags:
- mergekit
- merge
---
# miquliz-120b-v2.0

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/RFEW_K0ABp3k_N3j02Ki4.jpeg)

This is v2.0 of a 120b frankenmerge created by interleaving layers of [miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) with [lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf) using [mergekit](https://github.com/cg123/mergekit).

Inspired by [goliath-120b](https://huggingface.co/alpindale/goliath-120b).

Thanks for the support, [CopilotKit](https://github.com/CopilotKit/CopilotKit) - the open-source platform for building in-app AI Copilots into any product, with any LLM model. Check out their GitHub.

Special thanks to a kind soul, who wishes to remain anonymous, for donating the improved recipe for v2.0.

## Prompt template: Mistral

```
<s>[INST] {prompt} [/INST]
```

See also: [🐺🐦‍⬛ LLM Prompt Format Comparison/Test: Mixtral 8x7B Instruct with **17** different instruct templates : LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/comments/18ljvxb/llm_prompt_format_comparisontest_mixtral_8x7b/)

## Model Details

- Max Context: 32768 tokens
- Layers: 140

## Merge Details

### Merge Method

This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:

- [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
- [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: linear
parameters:
  weight: 1.0
slices:
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [0, 1]
      - model: lizpreciatior/lzlv_70b_fp16_hf
        layer_range: [0, 1]
        parameters:
          weight: 0
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [1, 20]
  - sources:
      - model: lizpreciatior/lzlv_70b_fp16_hf
        layer_range: [10, 30]
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [20, 40]
  - sources:
      - model: lizpreciatior/lzlv_70b_fp16_hf
        layer_range: [30, 50]
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [40, 60]
  - sources:
      - model: lizpreciatior/lzlv_70b_fp16_hf
        layer_range: [50, 70]
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [60, 79]
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [79, 80]
      - model: lizpreciatior/lzlv_70b_fp16_hf
        layer_range: [79, 80]
        parameters:
          weight: 0
dtype: float16
tokenizer_source: model:152334H/miqu-1-70b-sf
```

## Credits & Special Thanks

- 1st model:
  - original (unreleased) model: [mistralai (Mistral AI_)](https://huggingface.co/mistralai)
    - ⭐⭐⭐ **[Use their newer, better, official models here!](https://console.mistral.ai/)** ⭐⭐⭐
  - leaked model: [miqudev/miqu-1-70b](https://huggingface.co/miqudev/miqu-1-70b)
  - f16 model: [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
- 2nd model: [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf)
- mergekit: [arcee-ai/mergekit: Tools for merging pretrained large language models.](https://github.com/arcee-ai/mergekit)
- mergekit_config.yml: Improved recipe, donated by a kind soul who wishes to remain anonymous.

### Support

- [My Ko-fi page](https://ko-fi.com/wolframravenwolf) if you'd like to tip me to say thanks or request specific models to be tested or merged with priority. Also consider supporting your favorite model creators, quantizers, or frontend/backend devs if you can afford to do so. They deserve it!

#### DISCLAIMER: THIS IS [BASED ON A LEAKED ASSET](https://huggingface.co/miqudev/miqu-1-70b/discussions/10) AND HAS NO LICENSE ASSOCIATED WITH IT. USE AT YOUR OWN RISK.