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P4 V2 by abcorrea

 »  All LLMs  »  abcorrea  »  P4 V2   URL Share it on

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  Autotrain compatible   Base model:abcorrea/p4-v1 Base model:finetune:abcorrea/p...   Conversational   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/abcorrea/p4-v2 

P4 V2 Benchmarks

LLME Score: 0.30784
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
P4 V2 (abcorrea/p4-v2)
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P4 V2 Parameters and Internals

LLM NameP4 V2
Repository 🤗https://huggingface.co/abcorrea/p4-v2 
Model Namep4-v2
Base Model(s)  P4 V1   abcorrea/p4-v1
Model Size4b
Required VRAM8.1 GB
Updated2025-09-08
Maintainerabcorrea
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.52.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 4B Instruct 2507256K / 8.1 GB946812270
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Jan V1 4B256K / 8.1 GB12628327
WEBGEN 4B Preview256K / 8.1 GB61655
Qwen3 4B Thinking 2507 FP8256K / 5.2 GB17761428
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB2894727
Qwen3 4B Instruct 2507256K / 8.1 GB369788
...4B Thinking 2507 DAG Reasoning256K / 16.1 GB92634
Qwen3 4B Thinking 2507256K / 8.1 GB74384
P4 V1256K / 8.1 GB8860
Note: green Score (e.g. "73.2") means that the model is better than abcorrea/p4-v2.

Rank the P4 V2 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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Release v20241124
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