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Model Name by Loomel

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Loomel/model-name 

Model Name Benchmarks

LLME Score: 0.23097
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model Name (Loomel/model-name)
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Model Name Parameters and Internals

LLM NameModel Name
Repository 🤗https://huggingface.co/Loomel/model-name 
Base Model(s)  unsloth/qwen3-4b-base-unsloth-bnb-4bit   unsloth/qwen3-4b-base-unsloth-bnb-4bit
Model Size4b
Required VRAM8.1 GB
Updated2025-09-23
MaintainerLoomel
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.56.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Model Name

Best Alternatives
Context / RAM
Downloads
Likes
...wen3 4B Thinking 2507 MLX 8bit256K / 4.3 GB6281507
...wen3 4B Thinking 2507 MLX 4bit256K / 2.3 GB6415934
...Instruct 2507 Unsloth Bnb 4bit256K / 3.5 GB649314
...Thinking 2507 Unsloth Bnb 4bit256K / 3.5 GB189522
Qwen3 4B Thinking 2507 4bit256K / 2.3 GB41592
Qwen3 4B Instruct 2507 4bit256K / 2.3 GB33495
Jan V1 4B 8bit256K / 4.3 GB1873
Qwen3 4B Instruct 2507 8bit256K / 4.3 GB1034
Qwen3 4B Thinking 2507 Sft256K / 8.1 GB60
...wen3 4B Instruct 2507 Sft Full256K / 8.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than Loomel/model-name.

Rank the Model Name 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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