SauerkrautLM-UNA-SOLAR-Instruct

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.

Screenshot

Prompt Template(s)

### User:
{user}

### Assistant:
{asistant}

Yaml Config to reproduce

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

Quantizationed versions of this model is available thanks to TheBloke.

GPTQ

• TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-GPTQ

GGUF

• TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-GGUF

AWQ

• TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-AWQ

Open LLM Leaderboard Evaluation Results

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

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