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Viper Coder V1.4 by prithivMLmods

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Viper Coder V1.4 is an open-source language model by prithivMLmods. Features: 14.8b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.18.

Base model:finetune:prithivmlm... Base model:prithivmlmods/viper...   Codegen   Coder   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Zh
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Viper-Coder-v1.4 

Viper Coder V1.4 Benchmarks

LLME Score: 0.18043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Viper Coder V1.4 (prithivMLmods/Viper-Coder-v1.4)
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Viper Coder V1.4 Parameters and Internals

LLM NameViper Coder V1.4
Repository 🤗https://huggingface.co/prithivMLmods/Viper-Coder-v1.4 
Base Model(s)  prithivMLmods/Viper-Coder-v1.1   prithivMLmods/Viper-Coder-v1.1
Model Size14.8b
Required VRAM29.7 GB
Updated2026-04-24
MaintainerprithivMLmods
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Supported Languagesen zh
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Viper Coder V1.4

Best Alternatives
Context / RAM
Downloads
Likes
Viper Coder V1.7 Vsm6986K / 29.7 GB286
...acilla Vipercoderv1.7vsm6 0308986K / 29.7 GB60
Viper Coder Hybrid V1.3128K / 29.7 GB269
Raptor X5 UIGEN117K / 29.7 GB133
Raptor X4117K / 29.7 GB62
Raptor X2117K / 29.7 GB80
Viper Coder V1.6 R99932K / 29.7 GB216
Viper Coder V1.132K / 29.7 GB238
Viper Coder Hybrid V1.232K / 29.7 GB132
Viper OneCoder UIGEN32K / 29.7 GB163
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Viper-Coder-v1.4.

Rank the Viper Coder V1.4 Capabilities

🆘 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! 🌟

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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