Intelligence Cod Rag 7B V4 by ClaudioItaly

 ยป  All LLMs  ยป  ClaudioItaly  ยป  Intelligence Cod Rag 7B V4   URL Share it on

  Merged Model   Arxiv:2306.01708   Autotrain compatible   Base model:aidc-ai/marco-o1 Base model:eva-unit-01/eva-qwe... Base model:happzy2633/qwen2.5-...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Intelligence Cod Rag 7B V4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Intelligence Cod Rag 7B V4 (ClaudioItaly/Intelligence-Cod-Rag-7B-v4)

Intelligence Cod Rag 7B V4 Parameters and Internals

LLM NameIntelligence Cod Rag 7B V4
Repository ๐Ÿค—https://huggingface.co/ClaudioItaly/Intelligence-Cod-Rag-7B-v4 
Base Model(s)  happzy2633/qwen2.5-7b-ins-v3   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   Marco O1   happzy2633/qwen2.5-7b-ins-v3   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   AIDC-AI/Marco-o1
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-04-29
MaintainerClaudioItaly
Model Typeqwen2
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
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Intelligence Cod Rag 7B V4

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB2253570321
Hush Qwen2.5 7B Preview986K / 15.2 GB3390
Hush Qwen2.5 7B V1.2986K / 15.2 GB61
Hush Qwen2.5 7B V1.1986K / 15.2 GB61
Hush Qwen2.5 7B V1.4986K / 15.2 GB61
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB282
Hush Qwen2.5 7B V1.3986K / 15.2 GB62
Qwen2.5 7B Preview986K / 15.2 GB60
Qwen2.5 7B RRP 1M986K / 15.2 GB326
Qwen 2.5 7B Exp Sce986K / 15.2 GB62
Note: green Score (e.g. "73.2") means that the model is better than ClaudioItaly/Intelligence-Cod-Rag-7B-v4.

Rank the Intelligence Cod Rag 7B V4 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 46792 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227