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Llama 13B 4bit Hf by 4bit

 »  All LLMs  »  4bit  »  Llama 13B 4bit Hf   URL Share it on

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/4bit/llama-13b-4bit-hf 

Llama 13B 4bit Hf Benchmarks

LLME Score: 0.09441
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 13B 4bit Hf (4bit/llama-13b-4bit-hf)

Llama 13B 4bit Hf Parameters and Internals

Model Type 
auto-regressive, transformer
Use Cases 
Areas:
research
Applications:
question answering, natural language understanding, reading comprehension
Primary Use Cases:
Developing techniques to improve language models
Limitations:
Should not be used for downstream applications without risk evaluation
Considerations:
The model can generate toxic content, incorrect information, or unhelpful answers due to lack of human feedback training.
Additional Notes 
Requires special support code and converted via GPTQ method, experimental release.
Supported Languages 
en (English), bg (Bulgarian), ca (Catalan), cs (Czech), da (Danish), de (German), es (Spanish), fr (French), hr (Croatian), hu (Hungarian), it (Italian), nl (Dutch), pl (Polish), pt (Portuguese), ro (Romanian), ru (Russian), sl (Slovene), sr (Serbian), sv (Swedish), uk (Ukrainian)
Training Details 
Data Sources:
CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Model Architecture:
transformer
Safety Evaluation 
Risk Categories:
misinformation, bias, toxicity
Ethical Considerations:
The model reflects biases from its training data, which is collected from various web sources.
Responsible Ai Considerations 
Fairness:
Evaluated on RAI datasets for gender, religion, race, sexual orientation, age, nationality, disability, physical appearance, and socio-economic status biases.
Transparency:
Bias evaluation results are reported.
Mitigation Strategies:
Filtered web data based on its proximity to Wikipedia using Kneser-Ney and fastText linear classifier.
Input Output 
Accepted Modalities:
text
LLM NameLlama 13B 4bit Hf
Repository 🤗https://huggingface.co/4bit/llama-13b-4bit-hf 
Base Model(s)  ToddLora 13b V2   autobots/ToddLora_13b_v2
Model Size13b
Required VRAM7 GB
Updated2025-02-05
Maintainer4bit
Model Typellama
Model Files  7.0 GB
Quantization Type4bit
Model ArchitectureLLaMAForCausalLM
Licenseother
Transformers Version4.27.0.dev0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than 4bit/llama-13b-4bit-hf.

Rank the Llama 13B 4bit Hf 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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