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Llama 3 8B Instruct Checkit by joeisme

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Model Card on HF 🤗: https://huggingface.co/joeisme/Llama-3-8B-Instruct_checkit 

Llama 3 8B Instruct Checkit Benchmarks

LLME Score: 0.20054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct Checkit (joeisme/Llama-3-8B-Instruct_checkit)

Llama 3 8B Instruct Checkit Parameters and Internals

Model Type 
text-generation
Additional Notes 
Trained using the AutoTrain service.
Training Details 
Methodology:
AutoTrain
Input Output 
Accepted Modalities:
text
LLM NameLlama 3 8B Instruct Checkit
Repository 🤗https://huggingface.co/joeisme/Llama-3-8B-Instruct_checkit 
Model Size8b
Required VRAM0.2 GB
Updated2024-12-22
Maintainerjoeisme
Instruction-BasedYes
Model Files  0.2 GB   0.0 GB
Model ArchitectureAutoModel
Licenseother
Model Max Length2048
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|up_proj|v_proj|o_proj|q_proj|gate_proj|k_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Context / RAM
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Likes
Abliteration OVA 8B R128 LORA0K / 0.7 GB01
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... Instruct Abliteration LoRA 8B0K / 0.2 GB07
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...a Llama 3 8B Instruct Ct2 Int80K / 8 GB80
...lama 3 LimaRP Instruct LoRA 8B0K / 2.7 GB840
Llama 3 Instruct LiPPA LoRA 8B0K / 2.7 GB110
...a 3 8B Bnb 4bit Robot Instruct0K / 0.2 GB80
Note: green Score (e.g. "73.2") means that the model is better than joeisme/Llama-3-8B-Instruct_checkit.

Rank the Llama 3 8B Instruct Checkit 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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Release v20241217
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