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

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us

Gpt4 X Alpaca 13B Native 4bit 128g Cuda Benchmarks

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 Cuda (4bit/gpt4-x-alpaca-13b-native-4bit-128g-cuda)
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Gpt4 X Alpaca 13B Native 4bit 128g Cuda Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, NLP Applications
Applications:
Text generation, Language modeling
Primary Use Cases:
Conversational agents, Content creation
Limitations:
May not work with all GPTQ versions
Considerations:
Ensure compatibility with your current tooling before deployment.
Additional Notes 
Not compatible with older versions of GPTQ-for-LLaMA used in some forks.
Supported Languages 
English (High)
Training Details 
Data Sources:
C4 dataset
Data Volume:
Unknown
Methodology:
Quantization with Cuda
Context Length:
2048
Training Time:
Unknown
Hardware Used:
CUDA-enabled hardware
Model Architecture:
GPT-derived
Input Output 
Input Format:
Tokenized text input
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use with updated GPTQ versions for best compatibility.
Release Notes 
Version:
Unknown
Date:
Unknown
Notes:
This version uses CUDA for quantization into 4-bit.
LLM NameGpt4 X Alpaca 13B Native 4bit 128g Cuda
Repository ๐Ÿค—https://huggingface.co/4bit/gpt4-x-alpaca-13b-native-4bit-128g-cuda 
Model Size13b
Required VRAM8.1 GB
Updated2025-09-23
Maintainer4bit
Model Typellama
Model Files  8.1 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 4bit/gpt4-x-alpaca-13b-native-4bit-128g-cuda.

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