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NOVER1 Qwen3 4B by thinkwee

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  Arxiv:2505.16022   Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Dataset:thinkwee/novereason 5k   En   Endpoints compatible   General reasoning   Instruct   Lrm   Nover   Qwen3   Reasoning   Region:us   Rlvr   Safetensors   Sharded   Tensorflow   Verifier free
Model Card on HF 🤗: https://huggingface.co/thinkwee/NOVER1-Qwen3-4B 

NOVER1 Qwen3 4B Benchmarks

LLME Score: 0.27991
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NOVER1 Qwen3 4B (thinkwee/NOVER1-Qwen3-4B)
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NOVER1 Qwen3 4B Parameters and Internals

LLM NameNOVER1 Qwen3 4B
Repository 🤗https://huggingface.co/thinkwee/NOVER1-Qwen3-4B 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.9 GB
Updated2025-08-24
Maintainerthinkwee
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.9 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.54.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to NOVER1 Qwen3 4B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507256K / 8.1 GB396320230
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB1349525
Qwen3 4B Instruct 2507256K / 8.1 GB142066
...4B Thinking 2507 DAG Reasoning256K / 16.1 GB87263
... Instruct 2507 Gabliterated V1256K / 8.1 GB3667
... Instruct 2507 Gabliterated V2256K / 8.1 GB2266
...nstruct 2507 20250808 233922 0256K / 8.1 GB755
Qwen3 4B Instruct 2507 Imdb256K / 8.1 GB520
BingoGuard Qwen3 4B Pt256K / 8.1 GB440
Qwen3 4B Instruct 2507 Assin2256K / 8.1 GB500
Note: green Score (e.g. "73.2") means that the model is better than thinkwee/NOVER1-Qwen3-4B.

Rank the NOVER1 Qwen3 4B 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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