RichardErkhov/Dampfinchen_-_Llama-3-8B-Ultra-Instruct-SaltSprinkle-gguf

Quantization made by Richard Erkhov.

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Llama-3-8B-Ultra-Instruct-SaltSprinkle - GGUF

• —Model creator: https://huggingface.co/Dampfinchen/
• —Original model: https://huggingface.co/Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle/

Original model description: --- license: llama3 library_name: transformers tags:

• —mergekit
• —merge base_model:
• —Dampfinchen/Llama-3-8B-Ultra-Instruct
• —NousResearch/Meta-Llama-3-8B
• —NousResearch/Meta-Llama-3-8B-Instruct model-index:
• —name: Llama-3-8B-Ultra-Instruct-SaltSprinkle results:
• —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
• —type: accnorm value: 61.35 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
• —type: accnorm value: 77.76 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
• —type: acc value: 67.88 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
• —type: mc2 value: 52.82 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
• —type: acc value: 74.98 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
• —type: acc value: 70.89 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Dampfinchen/Llama-3-8B-Ultra-Instruct-SaltSprinkle name: Open LLM Leaderboard ---

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using NousResearch/Meta-Llama-3-8B as a base.

Models Merged

The following models were included in the merge:

• —Dampfinchen/Llama-3-8B-Ultra-Instruct
• —NousResearch/Meta-Llama-3-8B-Instruct

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: NousResearch/Meta-Llama-3-8B-Instruct
    parameters:
      density: 1
      weight: 1
  - model: Dampfinchen/Llama-3-8B-Ultra-Instruct
    parameters:
      density: 0.5
      weight: 0.2

merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
dtype: bfloat16

Test of salt sprinkle methode. The goal is to retain all of L3 Instruct's capabilities while adding better RP, RAG, German and story writing capabilities in the form of Ultra Instruct. Model may generate harmful responses, I'm not responsible for what you do with this model.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here