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P2 V1 by abcorrea

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  Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-4b   Conversational   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/abcorrea/p2-v1 

P2 V1 Benchmarks

LLME Score: 0.29723
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
P2 V1 (abcorrea/p2-v1)
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P2 V1 Parameters and Internals

LLM NameP2 V1
Repository 🤗https://huggingface.co/abcorrea/p2-v1 
Model Namep2-v1
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2025-08-17
Maintainerabcorrea
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.52.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151680
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to P2 V1

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507256K / 8.1 GB126453211
Qwen3 4B Thinking 2507256K / 8.1 GB34268294
Jan V1 4B256K / 8.1 GB1756250
Qwen3 4B Thinking 2507 FP8256K / 5.2 GB4592320
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB493821
...4B Thinking 2507 DAG Reasoning256K / 16.1 GB83542
Qwen3 4B Instruct 2507256K / 8.1 GB61045
... Instruct 2507 Gabliterated V1256K / 8.1 GB2627
Qwen3 4B Thinking 2507256K / 8.1 GB11072
... Instruct 2507 Gabliterated V2256K / 8.1 GB1606
Note: green Score (e.g. "73.2") means that the model is better than abcorrea/p2-v1.

Rank the P2 V1 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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