---
language:
- en
- fr
- es
- pt
license: other
library_name: transformers
tags:
- mergekit
- merge
- falcon3
base_model:
- neopolita/jessi-v0.4-falcon3-7b-instruct
- tiiuae/Falcon3-7B-Instruct
license_name: falcon-llm-license
license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
model-index:
- name: Falcon3-Jessi-v0.4-7B-Slerp
  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: 76.76
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Falcon3-Jessi-v0.4-7B-Slerp
      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: 37.29
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Falcon3-Jessi-v0.4-7B-Slerp
      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: 34.59
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Falcon3-Jessi-v0.4-7B-Slerp
      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: 8.28
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Falcon3-Jessi-v0.4-7B-Slerp
      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: 20.49
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Falcon3-Jessi-v0.4-7B-Slerp
      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: 34.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Falcon3-Jessi-v0.4-7B-Slerp
      name: Open LLM Leaderboard
---
# Merged Model

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

![Falcon-Merge-Logo](falcon-merge.png)

This model is currently ranked #1 on the Open LLM Leaderboard among models up to 14B parameters!

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [neopolita/jessi-v0.4-falcon3-7b-instruct](https://huggingface.co/neopolita/jessi-v0.4-falcon3-7b-instruct)
* [tiiuae/Falcon3-7B-Instruct](https://huggingface.co/tiiuae/Falcon3-7B-Instruct)

### Falcon3-7B-Instruct

**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.

This repository contains the **Falcon3-7B-Instruct**. It achieves state of art results (at the time of release) on reasoning, language understanding, instruction following, code and mathematics tasks.
Falcon3-7B-Instruct supports 4 languages (English, French, Spanish, Portuguese) and a context length up to 32K.

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: neopolita/jessi-v0.4-falcon3-7b-instruct
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 28]
    model: tiiuae/Falcon3-7B-Instruct
  - layer_range: [0, 28]
    model: neopolita/jessi-v0.4-falcon3-7b-instruct
```

# [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/suayptalha__Falcon3-Jessi-v0.4-7B-Slerp-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |35.23|
|IFEval (0-Shot)    |76.76|
|BBH (3-Shot)       |37.29|
|MATH Lvl 5 (4-Shot)|34.59|
|GPQA (0-shot)      | 8.28|
|MuSR (0-shot)      |20.49|
|MMLU-PRO (5-shot)  |34.00|

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