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Llama 3 1M Context Gradient Lora by winglian

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  Adapter   Finetuned   Lora   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/winglian/llama-3-1m-context-gradient-lora 

Llama 3 1M Context Gradient Lora Benchmarks

LLME Score: 0.15473
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 1M Context Gradient Lora (winglian/llama-3-1m-context-gradient-lora)
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Llama 3 1M Context Gradient Lora Parameters and Internals

Model Type 
text_generation, instruction-following
Use Cases 
Areas:
research, education, commercial
Applications:
chatbots, virtual assistants
Primary Use Cases:
text generation, instruction following
Limitations:
Not suitable for critical real-time applications
Considerations:
Test thoroughly before deployment in sensitive environments
Supported Languages 
English (high), Spanish (medium), French (low)
Training Details 
Data Sources:
open-access datasets, Instruction tuning datasets
Data Volume:
1048k instructions
Methodology:
LoRA tuning on self_attn modules
Context Length:
2048
Training Time:
2 weeks
Hardware Used:
8 A100 GPUs
Model Architecture:
LLaMA architecture with LoRA tuning
Safety Evaluation 
Methodologies:
adversarial testing
Findings:
robust to language drift
Risk Categories:
bias, misinformation
Ethical Considerations:
Standard AI ethical practices assumed during model creation.
Responsible Ai Considerations 
Fairness:
Trained on a diverse dataset to reduce bias
Transparency:
Model weights and training configurations are available publicly
Accountability:
Gradient AI maintains accountability for model outputs
Mitigation Strategies:
LoRA technique applied to mitigate overfitting
Input Output 
Input Format:
Plain text input with instructions
Accepted Modalities:
text
Output Format:
Generated text response
Performance Tips:
Utilize prompt engineering for better results.
Release Notes 
Version:
1.0
Date:
2023-09-15
Notes:
Initial release with LoRA tuning.
LLM NameLlama 3 1M Context Gradient Lora
Repository 🤗https://huggingface.co/winglian/llama-3-1m-context-gradient-lora 
Model Size1m
Required VRAM3.5 GB
Updated2025-09-08
Maintainerwinglian
Model Files  3.5 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|v_proj|o_proj|q_proj
LoRA Alpha1024
LoRA Dropout0
R Param1024

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Note: green Score (e.g. "73.2") means that the model is better than winglian/llama-3-1m-context-gradient-lora.

Rank the Llama 3 1M Context Gradient Lora Capabilities

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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.
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