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QwenTest 7 by Sakalti

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  Merged Model   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/QwenTest-7 

QwenTest 7 Benchmarks

MMLU Pro: 2.35
GPQA: 1.34
MUSR: 1.11
BBH: 3.63
IFEval: 16.72 vs 88 (so35)-81%
MATH Lvl 5: 0.38
LLME Score: 0.23608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwenTest 7 (Sakalti/QwenTest-7)

QwenTest 7 Parameters and Internals

LLM NameQwenTest 7
Repository 🤗https://huggingface.co/Sakalti/QwenTest-7 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Merged ModelYes
Model Size0.5b
Required VRAM2 GB
Updated2025-04-10
MaintainerSakalti
Model Typeqwen2
Instruction-BasedYes
Model Files  0.3 GB: 1-of-5   0.5 GB: 2-of-5   0.5 GB: 3-of-5   0.5 GB: 4-of-5   0.2 GB: 5-of-5
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to QwenTest 7

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Context / RAM
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Qwen2 0.5B Abyme Merge3128K / 1.3 GB221
Qwen2 0.5B Abyme Merge2128K / 0.3 GB70
Qwen2.5 0.5B Instruct32K / 1 GB37151298
Qwen2.5 0.5B Instruct32K / 1 GB1067051316
Qwen2 0.5B Instruct32K / 1 GB234180187
Qwen2.5 Coder 0.5B Instruct32K / 1 GB5504445
Qwen2.5 0.5B Instruct32K / 1 GB1844559
Lb Reranker 0.5B V1.032K / 1 GB77668
... Swarm Singing Timid Cassowary32K / 2 GB2291
Qwen2.5 0.5B Test Ft32K / 1 GB297710
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/QwenTest-7.

Rank the QwenTest 7 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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Release v20241227
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