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Gte Qwen2 7B Instruct 4bit DWQ by mlx-community

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Gte Qwen2 7B Instruct 4bit DWQ is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 4.3GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19, Arc: 83.6, HellaSwag: 75, MMLU: 59.7, GSM8K: 54.1.

  4-bit   4bit Base model:alibaba-nlp/gte-qwe... Base model:quantized:alibaba-n...   Conversational   Custom code   Endpoints compatible   Instruct   Mlx   Model-index   Mteb   Quantized   Qwen2   Region:us   Safetensors   Sentence-similarity   Sentence-transformers
Model Card on HF 🤗: https://huggingface.co/mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ 

Gte Qwen2 7B Instruct 4bit DWQ Benchmarks

ARC: 83.6 vs 96.7 (so35)-13.5%
HellaSwag: 75 vs 95.3 (gpt4)-21.3%
MMLU: 59.7 vs 88.3 (so35)-32.4%
GSM8K: 54.1 vs 96.4 (so35)-43.9%
OpenCompas: 53.1 vs 73.3 (gpt4)-27.6%
Exam: 66 vs 77.2 (gpt4)-14.5%
Language: 41 vs 62 (gpt4)-33.9%
Knowledge: 48.1 vs 73.5 (gpt4)-34.6%
Understand: 64.6 vs 70 (gpt4)-7.7%
Reasoning: 50.3 vs 74.4 (gpt4)-32.4%
LLME Score: 0.19378
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gte Qwen2 7B Instruct 4bit DWQ (mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ)
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Gte Qwen2 7B Instruct 4bit DWQ Parameters and Internals

LLM NameGte Qwen2 7B Instruct 4bit DWQ
Repository 🤗https://huggingface.co/mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ 
Base Model(s)  Gte Qwen2 7B Instruct   Alibaba-NLP/gte-Qwen2-7B-instruct
Model Size7b
Required VRAM4.3 GB
Updated2026-04-22
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  4.3 GB
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ.

Rank the Gte Qwen2 7B Instruct 4bit DWQ Capabilities

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Instruction Following and Task Automation  
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Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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