Quantization made by Richard Erkhov.
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: 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
llama2-7b-function-calling-slerp
llama2-7b-function-calling-slerp is a merge of the following models using mergekit:
🧩 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
Metric | Value |
---|---|
Avg. | 53.53 |
AI2 Reasoning Challenge (25-Shot) | 55.46 |
HellaSwag (10-Shot) | 79.50 |
MMLU (5-Shot) | 50.32 |
TruthfulQA (0-shot) | 40.32 |
Winogrande (5-shot) | 75.22 |
GSM8k (5-shot) | 20.39 |