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Robin 33B V2 GPTQ by TheBloke

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  4-bit   Autotrain compatible   Gptq   Llama   Lora   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/robin-33B-v2-GPTQ 

Robin 33B V2 GPTQ Benchmarks

ARC: 27.73 vs 96.7 (so35)-71.3%
HellaSwag: 26.29 vs 95.3 (gpt4)-72.4%
MMLU: 23.53 vs 88.3 (so35)-73.4%
TruthfulQA: 49.54 vs 59 (gpt4)-16%
WinoGrande: 79.79 vs 87.5 (gpt4)-8.8%
GSM8K: 27.75 vs 96.4 (so35)-71.2%
LLME Score: 0.1469
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Robin 33B V2 GPTQ (TheBloke/robin-33B-v2-GPTQ)
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Robin 33B V2 GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
GPTQ model files are available for GPU and CPU inference with multiple quantisation parameter options. Models were quantised using hardware provided by Latitude.sh.
Input Output 
Input Format:
A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions ###Human: {prompt} ###Assistant:
LLM NameRobin 33B V2 GPTQ
Repository 🤗https://huggingface.co/TheBloke/robin-33B-v2-GPTQ 
Model Size33b
Required VRAM16.9 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  16.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typebfloat16

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Rank the Robin 33B V2 GPTQ 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 v20241124
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