Enterredaas 65B 4bit 128g by Aeala

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Quantized   Region:us

Enterredaas 65B 4bit 128g Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Enterredaas 65B 4bit 128g (Aeala/Enterredaas-65b-4bit-128g)
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Enterredaas 65B 4bit 128g Parameters and Internals

Model Type 
text generation
Additional Notes 
This model uses 4-bit GPTQ quantization.
Training Details 
Data Sources:
Alpaca format
Methodology:
4-bit GPTQ quantization
Input Output 
Input Format:
### Instruction: <instruction> ### Input: <input>
Accepted Modalities:
text
Output Format:
### Response: <response>
LLM NameEnterredaas 65B 4bit 128g
Repository ๐Ÿค—https://huggingface.co/Aeala/Enterredaas-65b-4bit-128g 
Model Size65b
Required VRAM35.7 GB
Updated2025-09-13
MaintainerAeala
Model Typellama
Model Files  35.7 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
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
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Aeala/Enterredaas-65b-4bit-128g.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124