license, tags, base_model, model-index
| license |
tags |
base_model |
model-index |
| cc-by-nc-sa-4.0 |
|
| vicgalle/NeuralBeagle-11B |
| jeonsworld/CarbonVillain-en-10.7B-v4 |
|
| name |
results |
| CarbonBeagle-11B |
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| AI2 Reasoning Challenge (25-Shot) |
ai2_arc |
ARC-Challenge |
test |
|
|
| type |
value |
name |
| acc_norm |
71.84 |
normalized accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
split |
args |
| HellaSwag (10-Shot) |
hellaswag |
validation |
|
|
| type |
value |
name |
| acc_norm |
88.93 |
normalized accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| MMLU (5-Shot) |
cais/mmlu |
all |
test |
|
|
| type |
value |
name |
| acc |
66.62 |
accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| TruthfulQA (0-shot) |
truthful_qa |
multiple_choice |
validation |
|
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| Winogrande (5-shot) |
winogrande |
winogrande_xl |
validation |
|
|
| type |
value |
name |
| acc |
84.06 |
accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| GSM8k (5-shot) |
gsm8k |
main |
test |
|
|
| type |
value |
name |
| acc |
66.94 |
accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| IFEval (0-Shot) |
HuggingFaceH4/ifeval |
|
|
| type |
value |
name |
| inst_level_strict_acc and prompt_level_strict_acc |
54.15 |
strict accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| BBH (3-Shot) |
BBH |
|
|
| type |
value |
name |
| acc_norm |
33.06 |
normalized accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| MATH Lvl 5 (4-Shot) |
hendrycks/competition_math |
|
|
| type |
value |
name |
| exact_match |
5.51 |
exact match |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| GPQA (0-shot) |
Idavidrein/gpqa |
|
|
| type |
value |
name |
| acc_norm |
6.94 |
acc_norm |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| MuSR (0-shot) |
TAUR-Lab/MuSR |
|
|
| type |
value |
name |
| acc_norm |
9.19 |
acc_norm |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| MMLU-PRO (5-shot) |
TIGER-Lab/MMLU-Pro |
main |
test |
|
|
| type |
value |
name |
| acc |
25.29 |
accuracy |
|
|
|
|
|
|
|
CarbonBeagle-11B
An experiment in merging models of different architectures and sizes. Here are the steps:
- Upscale mlabonne/NeuralBeagle14-7B to vicgalle/franken-Beagle-11B.
- DPO-tune vicgalle/franken-Beagle-11B to vicgalle/NeuralBeagle-11B.
- Merge vicgalle/NeuralBeagle-11B and jeonsworld/CarbonVillain-en-10.7B-v4.

Merge Details
Merge Method
This model was merged using the linear merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
Evaluations
At the time of its creation (21-01-2024), it is the best model in the Open LLM Leaderboard for its size class (10.7B-11B), and also 13B models:



Detailed results can be found here
| Metric |
Value |
| Avg. |
74.64 |
| AI2 Reasoning Challenge (25-Shot) |
71.84 |
| HellaSwag (10-Shot) |
88.93 |
| MMLU (5-Shot) |
66.62 |
| TruthfulQA (0-shot) |
69.43 |
| Winogrande (5-shot) |
84.06 |
| GSM8k (5-shot) |
66.94 |
Detailed results can be found here
| Metric |
Value |
| Avg. |
22.36 |
| IFEval (0-Shot) |
54.15 |
| BBH (3-Shot) |
33.06 |
| MATH Lvl 5 (4-Shot) |
5.51 |
| GPQA (0-shot) |
6.94 |
| MuSR (0-shot) |
9.19 |
| MMLU-PRO (5-shot) |
25.29 |
Notice
- Part of the model is derived from CC-BY-NC-SA-licensed work
- Hence, the model cannot be used for commercial purposes
- And redistribution must be under the same license (CC-BY-NC-SA 4.0)