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Qwen1.5 7B Sft 0506 9 8 by WDong

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Qwen1.5 7B Sft 0506 9 8 is an open-source language model by WDong. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: mit, HF Score: 61.3, LLM Explorer Score: 0.15, Arc: 54.4, HellaSwag: 76.6, MMLU: 61.1, TruthfulQA: 47.4, WinoGrande: 72.2, GSM8K: 56.

  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/WDong/Qwen1.5-7B-sft-0506_9_8 

Qwen1.5 7B Sft 0506 9 8 Benchmarks

ARC: 54.35 vs 96.7 (so35)-43.8%
HellaSwag: 76.62 vs 95.3 (gpt4)-19.6%
MMLU: 61.08 vs 88.3 (so35)-30.8%
TruthfulQA: 47.36 vs 59 (gpt4)-19.7%
WinoGrande: 72.22 vs 87.5 (gpt4)-17.5%
GSM8K: 55.95 vs 96.4 (so35)-42%
LLME Score: 0.15243
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 7B Sft 0506 9 8 (WDong/Qwen1.5-7B-sft-0506_9_8)
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Qwen1.5 7B Sft 0506 9 8 Parameters and Internals

Model Type 
transformer, decoder-only
Use Cases 
Considerations:
More information needed
Additional Notes 
Qwen1.5 is the beta version of Qwen2, with improvements over previous releases. It includes various model sizes and specific features such as multilingual support and stable support for large context lengths.
Training Details 
Data Sources:
alpaca_formatted_review_new_data_0505_greater_8
Context Length:
32768
Hardware Used:
multi-GPU
Model Architecture:
transformer-based decoder-only language model
LLM NameQwen1.5 7B Sft 0506 9 8
Repository 🤗https://huggingface.co/WDong/Qwen1.5-7B-sft-0506_9_8 
Model Size7b
Required VRAM15.4 GB
Updated2025-09-23
MaintainerWDong
Model Typeqwen2
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   2.0 GB: 7-of-8   1.6 GB: 8-of-8
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than WDong/Qwen1.5-7B-sft-0506_9_8.

Rank the Qwen1.5 7B Sft 0506 9 8 Capabilities

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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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