Qwen3 4B Thinking 2507 GLM 4.6 Distill by TeichAI

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Qwen3 4B Thinking 2507 GLM 4.6 Distill is an open-source language model by TeichAI. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, LLM Explorer Score: 0.23.

  Arxiv:1910.09700 Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-th...   Qwen3   Region:us   Safetensors   Sharded   Tensorflow

Qwen3 4B Thinking 2507 GLM 4.6 Distill Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Thinking 2507 GLM 4.6 Distill (TeichAI/Qwen3-4B-Thinking-2507-GLM-4.6-Distill)
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Qwen3 4B Thinking 2507 GLM 4.6 Distill Parameters and Internals

LLM NameQwen3 4B Thinking 2507 GLM 4.6 Distill
Repository ๐Ÿค—https://huggingface.co/TeichAI/Qwen3-4B-Thinking-2507-GLM-4.6-Distill 
Base Model(s)  Qwen3 4B Thinking 2507   unsloth/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-03-27
MaintainerTeichAI
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.56.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than TeichAI/Qwen3-4B-Thinking-2507-GLM-4.6-Distill.

Rank the Qwen3 4B Thinking 2507 GLM 4.6 Distill 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 v20260327b