Aabbhishekk_-_llama2-7b-function-calling-slerp-8bits

Quantization made by Richard Erkhov.

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llama2-7b-function-calling-slerp - bnb 8bits

• 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: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
    • type: acc_norm value: 55.46 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_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: num_few_shot: 10 metrics:
    • type: acc_norm value: 79.5 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_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: num_few_shot: 5 metrics:
    • type: acc value: 50.32 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
    • type: mc2 value: 40.32 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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: winogrande_xl split: validation args: num_few_shot: 5 metrics:
    • type: acc value: 75.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?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: num_few_shot: 5 metrics:
    • type: acc value: 20.39 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp name: Open LLM Leaderboard

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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