---
license: mit
library_name: transformers
tags:
- mergekit
- merge
base_model:
- AIDC-AI/Marco-o1
- happzy2633/qwen2.5-7b-ins-v3
model-index:
- name: intelligence-cod-rag-7b-v3
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 68.98
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/intelligence-cod-rag-7b-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 34.78
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/intelligence-cod-rag-7b-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 9.82
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/intelligence-cod-rag-7b-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 3.02
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/intelligence-cod-rag-7b-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 10.68
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/intelligence-cod-rag-7b-v3
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 35.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ClaudioItaly/intelligence-cod-rag-7b-v3
      name: Open LLM Leaderboard
---
# merge


my elaboration and fusion of the models has led to a surprising result that I want to share with you all. I recommend you try this merge of mine.

Demonstrates strong reasoning skills when asked questions or texts. 
It is useful for reasoning to formulate questions with this example "Question: How did the Moon arise in your opinion?

GGUF ClaudioItaly/intelligence-cod-rag-7b-v3-Q6_K-GGUF
GUUF ClaudioItaly/intelligence-cod-rag-7b-v3-Q8_0-GGUF
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ClaudioItaly__intelligence-cod-rag-7b-v3)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |27.13|
|IFEval (0-Shot)    |68.98|
|BBH (3-Shot)       |34.78|
|MATH Lvl 5 (4-Shot)| 9.82|
|GPQA (0-shot)      | 3.02|
|MuSR (0-shot)      |10.68|
|MMLU-PRO (5-shot)  |35.51|