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Viper Coder V0.1 by prithivMLmods

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  Autotrain compatible Base model:finetune:prithivmlm... Base model:prithivmlmods/jolt-...   Codegen   Coder   Conversational   En   Endpoints compatible   Model-index   Qwen-optimized-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Viper🐍
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Viper-Coder-v0.1 

Viper Coder V0.1 Benchmarks

MMLU Pro: 32.53
GPQA: 13.87
MUSR: 13.03
BBH: 44.63
IFEval: 55.21 vs 88 (so35)-37.3%
MATH Lvl 5: 32.7
LLME Score: 0.35854
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Viper Coder V0.1 (prithivMLmods/Viper-Coder-v0.1)

Viper Coder V0.1 Parameters and Internals

LLM NameViper Coder V0.1
Repository 🤗https://huggingface.co/prithivMLmods/Viper-Coder-v0.1 
Base Model(s)  prithivMLmods/Jolt-v0.1   prithivMLmods/Jolt-v0.1
Model Size14.8b
Required VRAM29.7 GB
Updated2025-03-21
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Tempemotacilla Coderv1.6 030232K / 29.7 GB260
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Viper-Coder-v0.1.

Rank the Viper Coder V0.1 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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