Smp Unsloth Llama3 Model 16bits by SPACEJACO

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Smp Unsloth Llama3 Model 16bits Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smp Unsloth Llama3 Model 16bits (SPACEJACO/smp_unsloth_llama3_model-16bits)

Smp Unsloth Llama3 Model 16bits Parameters and Internals

Model Type 
text generation
Additional Notes 
Model trained faster using Unsloth and Huggingface's TRL library.
LLM NameSmp Unsloth Llama3 Model 16bits
Repository ๐Ÿค—https://huggingface.co/SPACEJACO/smp_unsloth_llama3_model-16bits 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-01-24
MaintainerSPACEJACO
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Llama 3 8B Instruct 262K 2bit256K / 2.5 GB171
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Note: green Score (e.g. "73.2") means that the model is better than SPACEJACO/smp_unsloth_llama3_model-16bits.

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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 v20241227