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Gradientai Llama 3 8B Instruct 262K 4bits by RichardErkhov

 »  All LLMs  »  RichardErkhov  »  Gradientai Llama 3 8B Instruct 262K 4bits   URL Share it on

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  Arxiv:2305.14233   Arxiv:2309.00071   Arxiv:2402.08268   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Llama   Llama-3   Meta   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/gradientai_-_Llama-3-8B-Instruct-262k-4bits 

Gradientai Llama 3 8B Instruct 262K 4bits Benchmarks

LLME Score: 0.18724
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gradientai Llama 3 8B Instruct 262K 4bits (RichardErkhov/gradientai_-_Llama-3-8B-Instruct-262k-4bits)

Gradientai Llama 3 8B Instruct 262K 4bits Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation
Primary Use Cases:
English dialogue use cases
Limitations:
Use in violation of applicable laws or regulations.
Considerations:
Model is tuned for English.
Additional Notes 
Transformation in AI implementation across industries by Gradient AI.
Supported Languages 
en (English)
Training Details 
Data Sources:
publicly available online data, SlimPajama, UltraChat
Data Volume:
15 trillion tokens
Methodology:
pretraining and instruction tuning
Context Length:
160000
Hardware Used:
NVIDIA L40S
Model Architecture:
auto-regressive language model using transformer architecture
Safety Evaluation 
Methodologies:
red teaming exercises, adversarial evaluations
Findings:
residual risks may remain
Risk Categories:
misinformation, bias
Ethical Considerations:
Model may produce biased or objectionable content.
Responsible Ai Considerations 
Fairness:
Exercise discretion in weighing alignment and helpfulness.
Transparency:
Efforts to keep AI safety standards transparent and interpretable.
Accountability:
Developers are responsible for model output in their use cases.
Mitigation Strategies:
Implemented safety mitigations to lower risks.
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Text output
Performance Tips:
N/A
LLM NameGradientai Llama 3 8B Instruct 262K 4bits
Repository 🤗https://huggingface.co/RichardErkhov/gradientai_-_Llama-3-8B-Instruct-262k-4bits 
Model Size8b
Required VRAM6.1 GB
Updated2025-02-22
MaintainerRichardErkhov
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length262144
Model Max Length262144
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RichardErkhov/gradientai_-_Llama-3-8B-Instruct-262k-4bits.

Rank the Gradientai Llama 3 8B Instruct 262K 4bits 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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Release v20241227
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