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Viper Coder V1.1 by prithivMLmods

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  Autotrain compatible Base model:finetune:prithivmlm... Base model:prithivmlmods/viper...   Codegen   Coder   Conversational   En   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   V1.1   Zh
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Viper-Coder-v1.1 

Viper Coder V1.1 Benchmarks

MMLU Pro: 47.02
GPQA: 20.13
MUSR: 26.21
BBH: 49.27
IFEval: 44.32 vs 88 (so35)-49.6%
MATH Lvl 5: 54.61
LLME Score: 0.33607
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Viper Coder V1.1 (prithivMLmods/Viper-Coder-v1.1)
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Viper Coder V1.1 Parameters and Internals

LLM NameViper Coder V1.1
Repository 🤗https://huggingface.co/prithivMLmods/Viper-Coder-v1.1 
Base Model(s)  prithivMLmods/Viper-Coder-v0.1   prithivMLmods/Viper-Coder-v0.1
Model Size14.8b
Required VRAM29.7 GB
Updated2025-07-24
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 Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Viper Coder V1.1

Model
Likes
Downloads
VRAM
Viper Coder V1.1 4bit178 GB

Best Alternatives to Viper Coder V1.1

Best Alternatives
Context / RAM
Downloads
Likes
Viper Coder V1.7 Vsm6986K / 29.7 GB76
...acilla Vipercoderv1.7vsm6 0308986K / 29.7 GB60
Viper Coder Hybrid V1.3128K / 29.7 GB79
Raptor X5 UIGEN117K / 29.7 GB143
Raptor X4117K / 29.7 GB72
Raptor X2117K / 29.7 GB80
Viper Coder V1.6 R99932K / 29.7 GB116
Viper Coder Hybrid V1.232K / 29.7 GB62
Viper OneCoder UIGEN32K / 29.7 GB93
Viper Coder V0.132K / 29.7 GB71
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Viper-Coder-v1.1.

Rank the Viper Coder V1.1 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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Release v20241124
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