Open Llama 3B 4bit 128g by iambestfeed

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  Arxiv:2302.13971   4bit   Autotrain compatible Dataset:togethercomputer/redpa...   Endpoints compatible   Llama   Quantized   Region:us   Safetensors

Open Llama 3b 4bit 128g Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Llama 3B 4bit 128g (iambestfeed/open_llama_3b_4bit_128g)
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Open Llama 3B 4bit 128g Parameters and Internals

Model Type 
large language model
Additional Notes 
Trained in collaboration with Stability AI
Training Details 
Data Sources:
togethercomputer/RedPajama-Data-1T
Data Volume:
1.2 trillion tokens
Methodology:
Training details follow the LLaMA paper with RedPajama dataset; uses data parallelism and ZeRO stage 3
Hardware Used:
cloud TPU-v4s
Model Architecture:
Same as LLaMA with differences in dataset used
Input Output 
Accepted Modalities:
text
Performance Tips:
Use `use_fast=False` for tokenization to avoid known issues.
Release Notes 
Date:
May 2023
Notes:
Release of OpenLLaMA with permissive license and trained using the RedPajama dataset.
LLM NameOpen Llama 3b 4bit 128g
Repository ๐Ÿค—https://huggingface.co/iambestfeed/open_llama_3b_4bit_128g 
Model Size3b
Required VRAM2.1 GB
Updated2025-03-22
Maintaineriambestfeed
Model Typellama
Model Files  2.1 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than iambestfeed/open_llama_3b_4bit_128g.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124