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QuantFactory/SauerkrautLM-UNA-SOLAR-Instruct-GGUF
SauerkrautLM-UNA-SOLAR-Instruct-GGUF is a machine learning model from QuantFactory. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
Downloads · 30 days
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From the Hugging Face model README
This is quantized version of Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct created using llama.cpp

This is the model for SauerkrautLM-UNA-SOLAR-Instruct. I used mergekit to merge models.
🥳 As of December 24 2023, this model holds the first place position on the Open LLM Leaderboard.
<h2><details><summary>Screenshot</summary><img src=https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/cVhjAJhuPoNgHo7CDCmA-.png></img></details></h2>### User:
{user}
### Assistant:
{asistant}
slices:
- sources:
- model: VAGOsolutions/SauerkrautLM-SOLAR-Instruct
layer_range: [0, 48]
- model: fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
layer_range: [0, 48]
merge_method: slerp
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
tokenizer_source: union
dtype: bfloat16
Quantizationed versions of this model is available thanks to TheBloke.
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.26 |
| AI2 Reasoning Challenge (25-Shot) | 70.90 |
| HellaSwag (10-Shot) | 88.30 |
| MMLU (5-Shot) | 66.15 |
| TruthfulQA (0-shot) | 71.80 |
| Winogrande (5-shot) | 83.74 |
| GSM8k (5-shot) | 64.67 |
If you would like to support me: