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Gpt4 X Alpaca 13B Native 4bit 128g by anon8231489123

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  748   
  4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g 

Gpt4 X Alpaca 13B Native 4bit 128g Benchmarks

LLME Score: 0.14646
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt4 X Alpaca 13B Native 4bit 128g (anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g)

Gpt4 X Alpaca 13B Native 4bit 128g Parameters and Internals

Model Type 
quantized model
Additional Notes 
Two different models are mentioned, with guidance to prefer the Cuda version at this time.
Training Details 
Data Sources:
https://github.com/teknium1/GPTeacher
Release Notes 
Version:
triton
Date:
unknown
Notes:
Initial version quantized on GPTQ-for-LLaMa commit 5955e9c67d9bfe8a8144ffbe853c2769f1e87cdd, currently incompatible with Oobabooga.
Version:
cuda
Date:
4/1
Notes:
ggml for Cuda model added, use Cuda model unless Triton branch becomes widely used.
LLM NameGpt4 X Alpaca 13B Native 4bit 128g
Repository 🤗https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g 
Model Size13b
Required VRAM7.9 GB
Updated2025-01-20
Maintaineranon8231489123
Model Typellama
Model Files  8.1 GB   7.9 GB   0.0 GB
Quantization Type4bit
Model ArchitectureLLaMAForCausalLM
Model Max Length512
Transformers Version4.27.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32001
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g.

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