Llama3 V1 by rafaeloc15

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/rafaeloc15/llama3-v1 

Llama3 V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 V1 (rafaeloc15/llama3-v1)

Llama3 V1 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLlama3 V1
Repository ๐Ÿค—https://huggingface.co/rafaeloc15/llama3-v1 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM30 GB
Updated2025-02-22
Maintainerrafaeloc15
Model Files  0.2 GB   4.9 GB: 1-of-7   5.0 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   4.2 GB: 6-of-7   1.1 GB: 7-of-7
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|gate_proj|down_proj|k_proj|o_proj|q_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16

Quantized Models of the Llama3 V1

Model
Likes
Downloads
VRAM
Llama3 V2054 GB

Best Alternatives to Llama3 V1

Best Alternatives
Context / RAM
Downloads
Likes
Lora Model 18K / 5.8 GB60
...3 Project Management Assistant0K / 0.2 GB121
ArabicTranslationPC0K / 5.8 GB790
LLAMA3 Vuln Detection0K / 0.2 GB70
Educate Ai V20K / 0.2 GB60
Lora Model0K / 16.1 GB480
Llama3 8B Myfine0K / 16.1 GB50
...ama 3 8B Instruct Bnb Telcom 30K / 0.2 GB80
Model Name0K / 16.1 GB70
Llama260K / 16.1 GB70
Note: green Score (e.g. "73.2") means that the model is better than rafaeloc15/llama3-v1.

Rank the Llama3 V1 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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