RichardErkhov/flammenai_-_flammen-mistral-7B-gguf

Quantization made by Richard Erkhov.

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flammen-mistral-7B - GGUF

• —Model creator: https://huggingface.co/flammenai/
• —Original model: https://huggingface.co/flammenai/flammen-mistral-7B/

Original model description: --- license: apache-2.0 library_name: transformers tags:

• —mergekit
• —merge base_model:
• —bardsai/jaskier-7b-dpo-v5.6
• —nbeerbower/bruphin-zeta
• —Gille/StrangeMerges_16-7B-slerp model-index:
• —name: flammen 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: 68.17 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=nbeerbower/flammen 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: 87.06 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=nbeerbower/flammen 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: 64.68 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nbeerbower/flammen 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: 63.02 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nbeerbower/flammen 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: 81.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nbeerbower/flammen 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: 66.03 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=nbeerbower/flammen name: Open LLM Leaderboard ---

flammen

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

Merge Details

Merge Method

This model was merged using the TIES merge method using bardsai/jaskier-7b-dpo-v5.6 as a base.

Models Merged

The following models were included in the merge:

• —nbeerbower/bruphin-zeta
• —Gille/StrangeMerges_16-7B-slerp

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: bardsai/jaskier-7b-dpo-v5.6
  - model: nbeerbower/bruphin-zeta
    parameters:
      density: 0.5
      weight: 0.5
  - model: Gille/StrangeMerges_16-7B-slerp
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: bardsai/jaskier-7b-dpo-v5.6
parameters:
  normalize: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here