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---
language:
- zh
- en
license: other
library_name: transformers
datasets:
- Open-Orca/OpenOrca
pipeline_tag: text-generation
license_name: tongyi-qianwen-research
license_link: https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE
model-index:
- name: Quark-464M-v0.1.alpha
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: 31.4
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=raincandy-u/Quark-464M-v0.1.alpha
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: 47.31
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=raincandy-u/Quark-464M-v0.1.alpha
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: 34.55
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=raincandy-u/Quark-464M-v0.1.alpha
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: 41.84
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=raincandy-u/Quark-464M-v0.1.alpha
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: 55.17
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=raincandy-u/Quark-464M-v0.1.alpha
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: 3.79
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=raincandy-u/Quark-464M-v0.1.alpha
name: Open LLM Leaderboard
---
# 🌟⚛ Introducing Quark Series: Empowering Edge Devices with Swift Bilingual Conversational AI
Presenting Quark-620M-v0.1.alpha, the first model in our Quark series.
Quark models focus on delivering exceptional English and Chinese conversational performance on edge devices with rapid inference speed.
# 🗨 Example
# 🧑🏫 Benchmark
*⏳Wait for uploading*
# 🔍 Disclaimer
As an alpha preview release without RLHF fine-tuning, we do not take responsibility for potentially harmful responses and are committed to continuous improvement based on user feedback and research.
# 👥 Join [Our Discord community](https://discord.gg/ATfjwje3)!
# [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_raincandy-u__Quark-464M-v0.1.alpha)
| Metric |Value|
|---------------------------------|----:|
|Avg. |35.68|
|AI2 Reasoning Challenge (25-Shot)|31.40|
|HellaSwag (10-Shot) |47.31|
|MMLU (5-Shot) |34.55|
|TruthfulQA (0-shot) |41.84|
|Winogrande (5-shot) |55.17|
|GSM8k (5-shot) | 3.79|
|