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Dolly Shygmalion 6B 4bit 128g by Ancestral

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Dolly Shygmalion 6B 4bit 128g is an open-source language model by Ancestral. Features: 6b LLM, VRAM: 4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.07.

  4bit   Conversational   En   Gptj   Gptq   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Ancestral/Dolly_Shygmalion-6b-4bit-128g 

Dolly Shygmalion 6B 4bit 128g Benchmarks

LLME Score: 0.0676
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolly Shygmalion 6B 4bit 128g (Ancestral/Dolly_Shygmalion-6b-4bit-128g)
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Dolly Shygmalion 6B 4bit 128g Parameters and Internals

Model Type 
text generation, conversational
Additional Notes 
The model was processed using GPTQ quantization methodology for 4-bit inference with a group size of 128.
Supported Languages 
en (high)
Release Notes 
Version:
gptq-v2
Notes:
GPTQ quantization performed using the command: python3 gptj.py models/Dolly_Shygmalion-6b c4 --wbits 4 --groupsize 128 --save_safetensors models/Dolly_Shygmalion-6b-4bit-128g.safetensors
LLM NameDolly Shygmalion 6B 4bit 128g
Repository 🤗https://huggingface.co/Ancestral/Dolly_Shygmalion-6b-4bit-128g 
Model Size6b
Required VRAM4 GB
Updated2026-04-07
MaintainerAncestral
Model Typegptj
Model Files  4.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureGPTJForCausalLM
Licenseapache-2.0
Model Max Length1024
Transformers Version4.28.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Torch Data Typefloat16
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Ancestral/Dolly_Shygmalion-6b-4bit-128g.

Rank the Dolly Shygmalion 6B 4bit 128g 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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