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---
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).
This model is currently ranked #1 on the Open LLM Leaderboard among models up to 8B parameters and #4 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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