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WPAIGPT Fse Patterns 1 by WPAI-INC

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  4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-32b-in...   Code   Conversational Dataset:wpai-inc/wp-pattern-in...   En   Endpoints compatible   Gguf   Instruct   Q4   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/WPAI-INC/WPAIGPT-fse-patterns-1 

WPAIGPT Fse Patterns 1 Benchmarks

LLME Score: 0.19792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WPAIGPT Fse Patterns 1 (WPAI-INC/WPAIGPT-fse-patterns-1)
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WPAIGPT Fse Patterns 1 Parameters and Internals

LLM NameWPAIGPT Fse Patterns 1
Repository 🤗https://huggingface.co/WPAI-INC/WPAIGPT-fse-patterns-1 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM65.8 GB
Updated2025-07-02
MaintainerWPAI-INC
Model Typeqwen2
Instruction-BasedYes
Model Files  19.9 GB   18.4 GB   34.8 GB   4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|4bit|gguf|q4_k|q5_k
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to WPAIGPT Fse Patterns 1

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Context / RAM
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EVA Instruct 32B EXL2 4.0128K / 17.7 GB173
....5 Coder 32B Instruct Bnb 4bit32K / 19.2 GB48074
...wen2.5 Coder 32B Instruct 3bit32K / 14.3 GB654
Qwen2.5 32B Instruct Bnb 4bit32K / 19.2 GB2589813
...wen2.5 Coder 32B Instruct 4bit32K / 18.5 GB21449
Cogito R132K / 65.8 GB105
Qwen2.5 32B Instruct 4bit32K / 18.5 GB21694
...wen2.5 Coder 32B Instruct 8bit32K / 34.9 GB25810
...truct Gptqmodel 4bit Vortex V132K / 21.3 GB5815
Qwen2.5 32B Instruct 8bit32K / 34.9 GB454
Note: green Score (e.g. "73.2") means that the model is better than WPAI-INC/WPAIGPT-fse-patterns-1.

Rank the WPAIGPT Fse Patterns 1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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