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Qwen2.5 7B Instruct 1M by Qwen

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Qwen2.5 7B Instruct 1M is an open-source language model by Qwen. Features: 7b LLM, VRAM: 15.4GB, Context: 986K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.37.

  Arxiv:2501.15383 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Chat   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M 

Qwen2.5 7B Instruct 1M Benchmarks

MMLU Pro: 27.83
GPQA: 6.38
MUSR: 9.52
BBH: 35.03
IFEval: 74.48 vs 88 (so35)-15.4%
MATH Lvl 5: 43.35
LLME Score: 0.37217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct 1M (Qwen/Qwen2.5-7B-Instruct-1M)
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Qwen2.5 7B Instruct 1M Parameters and Internals

LLM NameQwen2.5 7B Instruct 1M
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.4 GB
Updated2026-04-25
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 7B Instruct 1M

Model
Likes
Downloads
VRAM
Qwen2.5 7B Instruct 1M 4bit104224 GB
...B Instruct 1M Unsloth Bnb 4bit3777 GB
Qwen2.5 7B Instruct 1M 8bit4778 GB
Qwen2.5 7B Instruct 1M 6bit2306 GB

Best Alternatives to Qwen2.5 7B Instruct 1M

Best Alternatives
Context / RAM
Downloads
Likes
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB192
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB107
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB214
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB263

Rank the Qwen2.5 7B Instruct 1M 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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