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Qwen2.5 Boster by ClaudioItaly

 »  All LLMs  »  ClaudioItaly  »  Qwen2.5 Boster   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ClaudioItaly/Qwen2.5-Boster 

Qwen2.5 Boster Benchmarks

LLME Score: 0.22167
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Boster (ClaudioItaly/Qwen2.5-Boster)

Qwen2.5 Boster Parameters and Internals

LLM NameQwen2.5 Boster
Repository 🤗https://huggingface.co/ClaudioItaly/Qwen2.5-Boster 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-01-23
MaintainerClaudioItaly
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen2.5 Boster

Best Alternatives
Context / RAM
Downloads
Likes
StockQwen 2.5 7B128K / 15.2 GB113
Qwen2.5 Coder 7B Instruct32K / 15.2 GB123814386
Dria Agent A 7B32K / 15.2 GB286536
...erated MFANN Slerp Unretrained32K / 15.2 GB221
...r Scholar 7B Abliterated MFANN32K / 30.5 GB441
Qwen2.5 Coder 7B Instruct Ties32K / 15.2 GB1270
...2.5 Coder 7B Instruct 2024110632K / 15.2 GB204
Qwen2.5 Coder 7B Instruct32K / 15.2 GB58634
Qwen Bolt Coder32K / 15.2 GB241
MilkDropLM 7B V0.332K / 15.2 GB1212
Note: green Score (e.g. "73.2") means that the model is better than ClaudioItaly/Qwen2.5-Boster.

Rank the Qwen2.5 Boster 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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