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Qwen2.5 32B EVA Instruct Merge 0.1 by Downtown-Case

 »  All LLMs  »  Downtown-Case  »  Qwen2.5 32B EVA Instruct Merge 0.1   URL Share it on

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Downtown-Case/Qwen2.5-32B-EVA-Instruct-Merge-0.1 

Qwen2.5 32B EVA Instruct Merge 0.1 Benchmarks

LLME Score: 0.23555
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 32B EVA Instruct Merge 0.1 (Downtown-Case/Qwen2.5-32B-EVA-Instruct-Merge-0.1)

Qwen2.5 32B EVA Instruct Merge 0.1 Parameters and Internals

LLM NameQwen2.5 32B EVA Instruct Merge 0.1
Repository 🤗https://huggingface.co/Downtown-Case/Qwen2.5-32B-EVA-Instruct-Merge-0.1 
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2025-01-12
MaintainerDowntown-Case
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-14   5.0 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 32B EVA Instruct Merge 0.1

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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB292
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB1053
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Franqwenstein 35B128K / 69.8 GB2797
EVA Qwen2.5 32B V0.2128K / 65.8 GB226147
EVA Qwen2.5 32B V0.0128K / 65.8 GB82024
EVA Qwen2.5 32B V0.1128K / 65.8 GB79214
Q2.5 32B Slush128K / 65.7 GB1627
EVA Instruct 32B V2128K / 65.8 GB1216
Rombos Coder V2.5 Qwen 32B128K / 65.8 GB1218
Note: green Score (e.g. "73.2") means that the model is better than Downtown-Case/Qwen2.5-32B-EVA-Instruct-Merge-0.1.

Rank the Qwen2.5 32B EVA Instruct Merge 0.1 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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