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---
license: cc-by-4.0
tags:
- mistral
- merge
pipeline_tag: text-generation
model-index:
- name: smol_bruin-7b
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: 67.58
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b
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: 86.48
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b
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: 65.05
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b
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: 55.65
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b
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: 81.14
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b
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: 70.43
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/smol_bruin-7b
name: Open LLM Leaderboard
---
# Model Card for smol_bruin-7b
<!-- Provide a quick summary of what the model is/does. -->
Slerp merge of go-bruins-v2 and smol-7b.
.yaml file for mergekit
```.yaml:
slices:
- sources:
- model: rwitz/go-bruins-v2
layer_range: [0, 32]
- model: rishiraj/smol-7b
layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
parameters:
t:
- filter: self_attn
value: [0.44, 0.72, 0.61, 0.83, 1]
- filter: mlp
value: [0.56, 0.28, 0.39, 0.17, 0]
- value: 0.5 # fallback for rest of tensors
dtype: float16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Azazelle__smol_bruin-7b)
| Metric |Value|
|---------------------------------|----:|
|Avg. |71.05|
|AI2 Reasoning Challenge (25-Shot)|67.58|
|HellaSwag (10-Shot) |86.48|
|MMLU (5-Shot) |65.05|
|TruthfulQA (0-shot) |55.65|
|Winogrande (5-shot) |81.14|
|GSM8k (5-shot) |70.43|
|