metadata
language:
- en
- ko
- ja
- zh
- es
license: apache-2.0
model-index:
- name: Qwen2-7B-Multilingual-RP
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: 43.47
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP
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: 30.54
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP
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: 20.62
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP
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: 6.26
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP
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: 6.23
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP
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: 31.77
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP
name: Open LLM Leaderboard
Have Fun :>
Qwen2-7B-Multilingual-RP
Model Info
Context Length | Parameter | Prompt Template | isErp |
---|---|---|---|
32k(32768) | 7B | ChatML | Partly |
Prompt Template
{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content']}}{% if not loop.last or (loop.last and message['role'] != 'assistant') %}{{'<|im_end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{ '<|im_start|>assistant\n' }}{% endif %}
Training Details
Trained with | GPU Hour | Tokens Seen |
---|---|---|
A100 80G SXM * 8 | > 1,000H | > 2B |
Examples
Korean example
More examples soon.
License
Copyright 2024, Wanot AI, Inc
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 23.15 |
IFEval (0-Shot) | 43.47 |
BBH (3-Shot) | 30.54 |
MATH Lvl 5 (4-Shot) | 20.62 |
GPQA (0-shot) | 6.26 |
MuSR (0-shot) | 6.23 |
MMLU-PRO (5-shot) | 31.77 |