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Qwen 2.5 7B ConsistentChat by jiawei-ucas

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Qwen 2.5 7B ConsistentChat is an open-source language model by jiawei-ucas. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: mit, LLM Explorer Score: 0.2.

  Arxiv:2506.03558 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jiawei-ucas/Qwen-2.5-7B-ConsistentChat 

Qwen 2.5 7B ConsistentChat Benchmarks

LLME Score: 0.20211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 2.5 7B ConsistentChat (jiawei-ucas/Qwen-2.5-7B-ConsistentChat)
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Qwen 2.5 7B ConsistentChat Parameters and Internals

LLM NameQwen 2.5 7B ConsistentChat
Repository 🤗https://huggingface.co/jiawei-ucas/Qwen-2.5-7B-ConsistentChat 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2026-06-02
Maintainerjiawei-ucas
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen 2.5 7B ConsistentChat

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Context / RAM
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Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB31647372
Hush Qwen2.5 7B V1.2986K / 15.2 GB81
Hush Qwen2.5 7B V1.1986K / 15.2 GB91
Hush Qwen2.5 7B V1.4986K / 15.2 GB51
Hush Qwen2.5 7B Preview986K / 15.2 GB50
Hush Qwen2.5 7B V1.3986K / 15.2 GB182
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB52
Qwen 2.5 7B Exp Sce986K / 15.2 GB22
Qwen2.5 7B MixStock V0.1986K / 15.2 GB63
Note: green Score (e.g. "73.2") means that the model is better than jiawei-ucas/Qwen-2.5-7B-ConsistentChat.

Rank the Qwen 2.5 7B ConsistentChat Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Generation  
Text Summarization and Feature Extraction  
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