RichardErkhov/Aabbhishekk_-_llama2-7b-function-calling-slerp-gguf

Quantization made by Richard Erkhov.

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llama2-7b-function-calling-slerp - GGUF

• —Model creator: https://huggingface.co/Aabbhishekk/
• —Original model: https://huggingface.co/Aabbhishekk/llama2-7b-function-calling-slerp/

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

• —merge
• —mergekit
• —lazymergekit
• —meta-llama/Llama-2-7b-hf
• —Trelis/Llama-2-7b-chat-hf-function-calling-v3 model-index:
• —name: llama2-7b-function-calling-slerp 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: 55.46 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp 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: 79.5 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp 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: 50.32 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp 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: 40.32 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp 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: 75.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp 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: 20.39 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp name: Open LLM Leaderboard ---

llama2-7b-function-calling-slerp

llama2-7b-function-calling-slerp is a merge of the following models using mergekit:

• —meta-llama/Llama-2-7b-hf
• —Trelis/Llama-2-7b-chat-hf-function-calling-v3

🧩 Configuration

slices:
  - sources:
      - model: meta-llama/Llama-2-7b-hf
        layer_range: [0, 32]
      - model: Trelis/Llama-2-7b-chat-hf-function-calling-v3
        layer_range: [0, 32]
merge_method: slerp
base_model: meta-llama/Llama-2-7b-hf
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
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here