Thanks for the support, 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 and NanoByte!

Prompt template: Mistral

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

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:

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_)
- leaked model: miqudev/miqu-1-70b
- f16 model: 152334H/miqu-1-70b-sf
2nd model: lizpreciatior/lzlv_70b_fp16_hf
mergekit: arcee-ai/mergekit: Tools for merging pretrained large language models.
mergekit_config.yml: alpindale/goliath-120b
gguf quantization: ggerganov/llama.cpp: Port of Facebook's LLaMA model in C/C++

Support

My Ko-fi page 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!

wolfram/miquliz-120b-GGUF

miquliz-120b-GGUF