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GPT J 6B Skein 4bit 128g by Tokenisrequired

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  4bit   Autotrain compatible   Endpoints compatible   Gptj   Quantized   Region:us Text-generation 4bit int4 kobo...
Model Card on HF 🤗: https://huggingface.co/Tokenisrequired/GPT-J-6B-Skein-4bit-128g 

GPT J 6B Skein 4bit 128g Benchmarks

LLME Score: 0.08964
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT J 6B Skein 4bit 128g (Tokenisrequired/GPT-J-6B-Skein-4bit-128g)

GPT J 6B Skein 4bit 128g Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model outputs special characters even if the context does not have any, and occasionally transforms names inaccurately. It can generate incorrect pronouns, split actions unnaturally, and fails to produce dialogue tags. The model encountered a 'LayerNormKernelImpl' not implemented for 'Half' error. It's optimized for GTX 1080 with 4bit inference through GPTQ, loaded with specific settings via Python script.
LLM NameGPT J 6B Skein 4bit 128g
Repository 🤗https://huggingface.co/Tokenisrequired/GPT-J-6B-Skein-4bit-128g 
Model Size6b
Required VRAM4 GB
Updated2025-05-09
MaintainerTokenisrequired
Model Typegptj
Model Files  4.0 GB
Quantization Type4bit
Model ArchitectureGPTJForCausalLM
Model Max Length2048
Transformers Version4.10.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50400
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than Tokenisrequired/GPT-J-6B-Skein-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  
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Release v20241227
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