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XinYuan Qwen2 7B by thomas-yanxin

 »  All LLMs  »  thomas-yanxin  »  XinYuan Qwen2 7B   URL Share it on

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Dataset:thomas-yanxin/mt-sft-s...   En   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/thomas-yanxin/XinYuan-Qwen2-7B 

XinYuan Qwen2 7B Benchmarks

MMLU Pro: 32.49
GPQA: 5.48
MUSR: 9.26
BBH: 28.4
IFEval: 44.38 vs 88 (so35)-49.6%
MATH Lvl 5: 13.29
LLME Score: 0.2774
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XinYuan Qwen2 7B (thomas-yanxin/XinYuan-Qwen2-7B)

XinYuan Qwen2 7B Parameters and Internals

Use Cases 
Primary Use Cases:
Validate usability of dataset
Supported Languages 
zh (Chinese), en (English)
LLM NameXinYuan Qwen2 7B
Repository 🤗https://huggingface.co/thomas-yanxin/XinYuan-Qwen2-7B 
Model Size7b
Required VRAM15.2 GB
Updated2025-01-24
Maintainerthomas-yanxin
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   0.0 GB
Supported Languageszh en
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.43.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to XinYuan Qwen2 7B

Best Alternatives
Context / RAM
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Likes
DeepSeek R1 Distill Qwen 7B128K / 15.2 GB23197156
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QwQ R1 Distill 7B CoT128K / 15.2 GB108
SakalFusion 7B Alpha128K / 15.2 GB610
Light 7B Beta128K / 15.2 GB211
Lexora Medium 7B128K / 15.2 GB50055
Rombos LLM V2.5 Qwen 7B128K / 15.2 GB66215
Teleut 7B128K / 15.2 GB10211
Qwen2 7B Instruct V0.1128K / 15.2 GB409681
Note: green Score (e.g. "73.2") means that the model is better than thomas-yanxin/XinYuan-Qwen2-7B.

Rank the XinYuan Qwen2 7B 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 v20241227
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