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Llama30 by kevin009

 »  All LLMs  »  kevin009  »  Llama30   URL Share it on

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Llama30 Benchmarks

LLME Score: 0.2119
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama30 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLlama30
Repository 🤗https://huggingface.co/kevin009/llama30 
Base Model(s)  unsloth/llama-3-8b-instruct-bnb-4bit   unsloth/llama-3-8b-instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
Maintainerkevin009
Instruction-BasedYes
Model Files  0.2 GB   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 ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|o_proj|down_proj|up_proj|k_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Llama30 (kevin009/llama30)

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Note: green Score (e.g. "73.2") means that the model is better than kevin009/llama30.

Rank the Llama30 Capabilities

🆘 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! 🌟

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 v20241110
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