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Qwen2 7B Instruct V0.8 by MaziyarPanahi

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  Autotrain compatible   Base model:qwen/qwen2-7b   Chat   Chatml   Conversational Dataset:microsoft/orca-math-wo...   Dataset:nvidia/helpsteer2   Dataset:open-orca/slimorca   Dataset:teknium/openhermes-2.5   En   Finetuned   Helpsteer2   Instruct   License:apache-2.0   Openhermes-2.5   Orca   Qwen   Qwen2   Region:us   Safetensors   Sharded   Slimorca   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.8 

Qwen2 7B Instruct V0.8 Benchmarks

MMLU Pro: 28.51
GPQA: 5.82
MUSR: 12.06
BBH: 25.53
IFEval: 27.75 vs 88 (so35)-68.5%
MATH Lvl 5: 17.45
LLME Score: 0.32985
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruct V0.8 (MaziyarPanahi/Qwen2-7B-Instruct-v0.8)

Qwen2 7B Instruct V0.8 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model aims to improve the base model Qwen/Qwen2-7B across all benchmarks and has been quantized for enhanced performance.
Input Output 
Input Format:
ChatML prompt template
Accepted Modalities:
text
LLM NameQwen2 7B Instruct V0.8
Repository 🤗https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.8 
Model NameQwen2-7B-Instruct-v0.8
Model CreatorMaziyarPanahi
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM15.2 GB
Updated2024-07-21
MaintainerMaziyarPanahi
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2 7B Instruct V0.8

Model
Likes
Downloads
VRAM
Qwen2 7B Instruct V0.8 GGUF161554 GB

Best Alternatives to Qwen2 7B Instruct V0.8

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB25044175
Qwen2.5 7B RRP 1M986K / 15.2 GB974
COCO 7B Instruct 1M986K / 15.2 GB738
Q2.5 Instruct 1M Harmony986K / 15.2 GB350
Impish QWEN 7B 1M986K / 15.2 GB391
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB508
Mergekit Della Linear Vmeykci986K / 16.2 GB110
MwM 7B CoT Merge1986K / 15.2 GB222
SJT 7B 1M986K / 15.2 GB131
....5 7B DeepSeek BunnyHarmony 1M986K / 14.8 GB01
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Qwen2-7B-Instruct-v0.8.

Rank the Qwen2 7B Instruct V0.8 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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