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Qwen3 4B Tcomanr Merge V2.2 by ertghiu256

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Qwen3 4B Tcomanr Merge V2.2 is an open-source language model by ertghiu256. Features: 4b LLM, VRAM: 8GB, Context: 256K, Quantized, Merged, LLM Explorer Score: 0.21.

  Merged Model   Arxiv:2306.01708 Base model:ertghiu256/deepseek... Base model:ertghiu256/qwen-3-4... Base model:ertghiu256/qwen3-4b... Base model:ertghiu256/qwen3-he... Base model:ertghiu256/qwen3-ma... Base model:ertghiu256/qwen3-mu... Base model:huihui-ai/huihui-qw... Base model:polaris-project/pol... Base model:qwen/qwen3-4b-think... Base model:tesslate/uigen-t3-4... Base model:valiantlabs/qwen3-4... Base model:valiantlabs/qwen3-4...   Code   Conversational   Endpoints compatible   Gguf   Math   Q5   Quantized   Qwen   Qwen3   Reason   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Think   Thinking
Model Card on HF 🤗: https://huggingface.co/ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 

Qwen3 4B Tcomanr Merge V2.2 Benchmarks

LLME Score: 0.21276
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Tcomanr Merge V2.2 (ertghiu256/Qwen3-4b-tcomanr-merge-v2.2)
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Qwen3 4B Tcomanr Merge V2.2 Parameters and Internals

LLM NameQwen3 4B Tcomanr Merge V2.2
Repository 🤗https://huggingface.co/ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 
Base Model(s)  ...3 4B Thinking 2507 Abliterated   UIGEN T3 4B Preview MAX   Qwen3 4B Esper3   Qwen3 4B ShiningValiant3   Qwen3 Hermes 4B   Qwen3 Math Reasoner   ...epseek R1 0528 Distilled Qwen3   Qwen 3 4B Mixture Of Thought   Qwen3 4B Thinking 2507   Polaris 4B Preview   Qwen3 Multi Reasoner   Qwen3 4B Code Reasoning   huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated   Tesslate/UIGEN-T3-4B-Preview-MAX   ValiantLabs/Qwen3-4B-Esper3   ValiantLabs/Qwen3-4B-ShiningValiant3   ertghiu256/Qwen3-Hermes-4b   ertghiu256/qwen3-math-reasoner   ertghiu256/deepseek-r1-0528-distilled-qwen3   ertghiu256/qwen-3-4b-mixture-of-thought   Qwen/Qwen3-4B-Thinking-2507   POLARIS-Project/Polaris-4B-Preview   ertghiu256/qwen3-multi-reasoner   ertghiu256/qwen3-4b-code-reasoning
Merged ModelYes
Model Size4b
Required VRAM8 GB
Updated2026-03-30
Maintainerertghiu256
Model Typeqwen3
Model Files  8.1 GB   2.9 GB   4.3 GB   5.0 GB: 1-of-2   3.0 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq5|gguf|q5_k
Model ArchitectureQwen3ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.55.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen3 4B Tcomanr Merge V2.2

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...wen3 4B Toolcalling Gguf Codex256K / 4.3 GB723051
...B Toolcall Gguf Llamacpp Codex256K / 4.3 GB6126
...wen3 4B Thinking 2507 Hermes 3256K / 8.1 GB1053
Qwen3 4B Tcomanr Merge V2256K / 8 GB212
Qwen3 4B 128K GGUF128K / 1.1 GB112027
Qwen3 4B GGUF40K / 1.1 GB65594209
Qwen3 Hermes 4B40K / 8.1 GB533
Qwen3 4B GGUF40K / 1.7 GB3596
Qwen3 4B Self Thinking 16bit256K / 8.1 GB19630
...Instruct 2507 Unsloth Bnb 4bit256K / 3.5 GB18992014
Note: green Score (e.g. "73.2") means that the model is better than ertghiu256/Qwen3-4b-tcomanr-merge-v2.2.

Rank the Qwen3 4B Tcomanr Merge V2.2 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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