|
--- |
|
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 |
|
|
|
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/RFEW_K0ABp3k_N3j02Ki4.jpeg) |
|
|
|
- EXL2: [2.4bpw](https://huggingface.co/LoneStriker/miquliz-120b-2.4bpw-h6-exl2) | [2.65bpw](https://huggingface.co/LoneStriker/miquliz-120b-2.65bpw-h6-exl2) | 2.9bpw | [4.0bpw](https://huggingface.co/LoneStriker/miquliz-120b-4.0bpw-h6-exl2) |
|
- GGUF: [IQ3_XXS](https://huggingface.co/wolfram/miquliz-120b-GGUF) | [Q4_K_S+Q4_K_M](https://huggingface.co/NanoByte/miquliz-120b-Q4-GGUF) |
|
- HF: [wolfram/miquliz-120b](https://huggingface.co/wolfram/miquliz-120b) |
|
|
|
This is 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. |
|
|
|
Thanks for the EXL2 and GGUF quants, [Lone Striker](https://huggingface.co/LoneStriker) and [NanoByte](https://huggingface.co/NanoByte)! |
|
|
|
## 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: 137 |
|
|
|
## Merge Details |
|
|
|
### Merge Method |
|
|
|
This model was merged using the passthrough 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 |
|
dtype: float16 |
|
merge_method: passthrough |
|
slices: |
|
- sources: |
|
- layer_range: [0, 16] |
|
model: 152334H/miqu-1-70b-sf |
|
- sources: |
|
- layer_range: [8, 24] |
|
model: lizpreciatior/lzlv_70b_fp16_hf |
|
- sources: |
|
- layer_range: [17, 32] |
|
model: 152334H/miqu-1-70b-sf |
|
- sources: |
|
- layer_range: [25, 40] |
|
model: lizpreciatior/lzlv_70b_fp16_hf |
|
- sources: |
|
- layer_range: [33, 48] |
|
model: 152334H/miqu-1-70b-sf |
|
- sources: |
|
- layer_range: [41, 56] |
|
model: lizpreciatior/lzlv_70b_fp16_hf |
|
- sources: |
|
- layer_range: [49, 64] |
|
model: 152334H/miqu-1-70b-sf |
|
- sources: |
|
- layer_range: [57, 72] |
|
model: lizpreciatior/lzlv_70b_fp16_hf |
|
- sources: |
|
- layer_range: [65, 80] |
|
model: 152334H/miqu-1-70b-sf |
|
``` |
|
|
|
## Credits & Special Thanks |
|
|
|
- 1st model: |
|
- original (unreleased) model: [mistralai (Mistral AI_)](https://huggingface.co/mistralai) |
|
- 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: [alpindale/goliath-120b](https://huggingface.co/alpindale/goliath-120b) |
|
|
|
### 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. |
|
|