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Ifd New Correct Sample 2500 Qwen by godlikehhd

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Ifd New Correct Sample 2500 Qwen is an open-source language model by godlikehhd. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.22.

  Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/godlikehhd/ifd_new_correct_sample_2500_qwen 

Ifd New Correct Sample 2500 Qwen Benchmarks

MMLU Pro: 21.47
GPQA: 7.72
MUSR: 7.9
BBH: 16.88
IFEval: 33.97 vs 88 (so35)-61.4%
MATH Lvl 5: 10.42
LLME Score: 0.21886
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ifd New Correct Sample 2500 Qwen (godlikehhd/ifd_new_correct_sample_2500_qwen)
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Ifd New Correct Sample 2500 Qwen Parameters and Internals

LLM NameIfd New Correct Sample 2500 Qwen
Repository 🤗https://huggingface.co/godlikehhd/ifd_new_correct_sample_2500_qwen 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-01-14
Maintainergodlikehhd
Model Typeqwen2
Model Files  3.1 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...n Research Reasoning Qwen 1.5B128K / 7.1 GB5716221
Note: green Score (e.g. "73.2") means that the model is better than godlikehhd/ifd_new_correct_sample_2500_qwen.

Rank the Ifd New Correct Sample 2500 Qwen 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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