File size: 5,521 Bytes
cac2df3 e9ffd99 12209c3 99d75ab 4c215e2 12209c3 8b8542d c68b90e cac2df3 c68b90e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 |
---
datasets:
- agentlans/crash-course
base_model:
- google/gemma-2-9b-it
- FuseAI/FuseChat-Gemma-2-9B-Instruct
- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
tags:
- gemma2
language:
- en
pipeline_tag: text-generation
license: gemma
model-index:
- name: Gemma2-9B-AdvancedFuse
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: wis-k/instruction-following-eval
split: train
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 15.43
name: averaged accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: SaylorTwift/bbh
split: test
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 40.52
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: lighteval/MATH-Hard
split: test
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 7.55
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
split: train
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 11.3
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
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: 11.99
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
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: 33.34
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FGemma2-9B-AdvancedFuse
name: Open LLM Leaderboard
---
# Gemma2-9B-AdvancedFuse
Gemma2-9B-AdvancedFuse is an experimental, open-source large language model (LLM) with 9 billion parameters.
It aims to combine the strengths of [FuseAI/FuseChat-Gemma-2-9B-Instruct](https://huggingface.co/fuseai/fusechat-gemma-2-9b-instruct) and
[jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9b-it-advanced-v2.1) through additive linear merging,
further fine-tuned on a 12K row dataset from [agentlans/crash-course](https://huggingface.co/datasets/agentlans/crash-course)
for enhanced chat and instruct performance, including math and multilingual prompts.
## Capabilities
- **Text Generation:** Generates coherent emails, summaries, and notes. This model card was primarily generated by the model itself.
- **Instruction Following:** Demonstrates strong ability to understand and execute instructions in conversational settings.
- **Roleplaying:** Can engage in third-person narrative roleplay but may exhibit common GPT expressions or clichés.
### Limitations
As with most large language models:
- **Factual Errors:** May generate incorrect or outdated information due to data biases.
- **Mathematical Operations:** Struggles with mathematical calculations requiring symbolic reasoning despite its finetuning data.
- **Handling Unsafe Input:** May generate unsafe, biased, or malicious content if provided inappropriate input. Careful prompt engineering is recommended.
### Model Usage Guidelines
1. Use clear and specific instructions for optimal performance.
2. Verify generated outputs for factual accuracy when critical information is involved.
3. Avoid providing inputs that could lead to harmful or unethical responses.
4. Consider using human review, especially in high-stakes applications.
# [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/agentlans__Gemma2-9B-AdvancedFuse-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=agentlans%2FGemma2-9B-AdvancedFuse&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
| Metric |Value (%)|
|-------------------|--------:|
|**Average** | 20.02|
|IFEval (0-Shot) | 15.43|
|BBH (3-Shot) | 40.52|
|MATH Lvl 5 (4-Shot)| 7.55|
|GPQA (0-shot) | 11.30|
|MuSR (0-shot) | 11.99|
|MMLU-PRO (5-shot) | 33.34|
|