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Qwen1.5 7B Sft 0506 7 7 by WDong

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  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/WDong/Qwen1.5-7B-sft-0506_7_7 

Qwen1.5 7B Sft 0506 7 7 Benchmarks

ARC: 53.75 vs 96.7 (so35)-44.4%
HellaSwag: 76.49 vs 95.3 (gpt4)-19.7%
MMLU: 59.58 vs 88.3 (so35)-32.5%
TruthfulQA: 49.04 vs 59 (gpt4)-16.9%
WinoGrande: 70.56 vs 87.5 (gpt4)-19.4%
GSM8K: 52.46 vs 96.4 (so35)-45.6%
LLME Score: 0.20278
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 7 7 (WDong/Qwen1.5-7B-sft-0506_7_7)

Qwen1.5 7B Sft 0506 7 7 Parameters and Internals

Model Type 
transformer-based, decoder-only, language
Additional Notes 
Qwen1.5 supports significant improvements and multilingual setups. Offers stable support for 32K context length.
Training Details 
Context Length:
32000
Model Architecture:
transformer-based decoder-only
LLM NameQwen1.5 7B Sft 0506 7 7
Repository 🤗https://huggingface.co/WDong/Qwen1.5-7B-sft-0506_7_7 
Model Size7b
Required VRAM15.4 GB
Updated2025-02-22
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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Rank the Qwen1.5 7B Sft 0506 7 7 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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