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Viper Coder V1.6 R999 by prithivMLmods

 »  All LLMs  »  prithivMLmods  »  Viper Coder V1.6 R999   URL Share it on

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  Autotrain compatible Base model:finetune:prithivmlm... Base model:prithivmlmods/viper...   Codegen   Coder   Conversational   En   Endpoints compatible   Model-index   Qwen2   R999   Region:us   Safetensors   Sharded   Tensorflow   Trl   Viper
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Viper-Coder-v1.6-r999 

Viper Coder V1.6 R999 Benchmarks

MMLU Pro: 47.02
GPQA: 20.13
MUSR: 26.21
BBH: 49.27
IFEval: 44.33 vs 88 (so35)-49.6%
MATH Lvl 5: 56.57
LLME Score: 0.40945
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Viper Coder V1.6 R999 (prithivMLmods/Viper-Coder-v1.6-r999)

Viper Coder V1.6 R999 Parameters and Internals

LLM NameViper Coder V1.6 R999
Repository 🤗https://huggingface.co/prithivMLmods/Viper-Coder-v1.6-r999 
Base Model(s)  prithivMLmods/Viper-Coder-Hybrid-v1.3   prithivMLmods/Viper-Coder-Hybrid-v1.3
Model Size14.8b
Required VRAM29.7 GB
Updated2025-03-22
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 Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Viper-Coder-v1.6-r999.

Rank the Viper Coder V1.6 R999 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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