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---
license: mit
model-index:
- name: BruinsV2-OpHermesNeu-11B
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: 68.09
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B
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: 84.7
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B
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: 64.19
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B
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: 62.76
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B
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: 79.48
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B
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: 60.05
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B
name: Open LLM Leaderboard
---
| Task |Version| Metric |Value | |Stderr|
|-------------|------:|--------|-----:|---|-----:|
|arc_challenge| 0|acc |0.6527|± |0.0139|
| | |acc_norm|0.6869|± |0.0136|
**Warning! This model may or may not be contaminated [See discussion 474](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/474). What a shame. It still does perform well though**
A passthrough merge of OpenHermes-2.5-neural-chat-7b-v3-1 and Bruins-V2. To be updated.
Template: ChatML
My settings:
Temperature: 0.7-0.8
Min_p: 0.12
Top_K: 0
Repetition Penalty: 1.16
Mirostat Tau: 2.5-3
Mirostat Eta: 0.12
Personal Thoughts:
- The model sometimes throws wrong tags, you can add those to "Custom stopping strings" in Oobabooga.
- Output with Mirostat consistently felt smarter than a set Top_K rate.
Note: The model is hallucinating hard in chat mode for me in some instances, like writing adblocker messages. Kind of funny.
I am not sure which dataset involved was poisoned.
# [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_Ba2han__BruinsV2-OpHermesNeu-11B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |69.88|
|AI2 Reasoning Challenge (25-Shot)|68.09|
|HellaSwag (10-Shot) |84.70|
|MMLU (5-Shot) |64.19|
|TruthfulQA (0-shot) |62.76|
|Winogrande (5-shot) |79.48|
|GSM8k (5-shot) |60.05|
|