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5Cqv4cu by panda0125

 »  All LLMs  »  panda0125  »  5Cqv4cu   URL Share it on

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  Autotrain compatible   Endpoints compatible   Region:us   Safetensors   Sharded   Stablelm   Tensorflow
Model Card on HF 🤗: https://huggingface.co/panda0125/5Cqv4cu 

5Cqv4cu Benchmarks

LLME Score: 0.17665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
5Cqv4cu (panda0125/5Cqv4cu)

5Cqv4cu Parameters and Internals

Model Type 
text generation, conversation
Use Cases 
Areas:
research, commercial applications
Applications:
customer support bots, content generation
Primary Use Cases:
chat interactions, automating routine tasks
Limitations:
not suitable for real-time factual information, prone to generating incorrect answers
Considerations:
Avoid deployment in high-stakes decision scenarios.
Additional Notes 
Continual updates and improvements are integrated into the model over time.
Supported Languages 
English (fluent), Spanish (fluent), French (fluent), Others (partial)
Training Details 
Data Sources:
diverse internet text
Data Volume:
570GB of filtered text
Methodology:
supervised fine-tuning and RLHF
Context Length:
2048
Hardware Used:
V100 GPUs, A100 GPUs
Model Architecture:
Transformer
Safety Evaluation 
Methodologies:
red-teaming, adversarial tests
Findings:
model can be prompted to generate inappropriate content, bias in outputs observed
Risk Categories:
misinformation, bias
Ethical Considerations:
Address fairness and transparency concerns
Responsible Ai Considerations 
Fairness:
Ongoing efforts to minimize bias and ensure fair interactions.
Transparency:
Outputs may not always explain the rationale behind decisions.
Accountability:
User is responsible for ensuring safe use of model outputs.
Mitigation Strategies:
Implemented filtering and monitoring systems to prevent misuse.
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
text response
Performance Tips:
Use clearer prompts for more coherent responses.
Release Notes 
Version:
v4.0
Date:
2023-03-15
Notes:
New capabilities in context understanding and response generation.
LLM Name5Cqv4cu
Repository 🤗https://huggingface.co/panda0125/5Cqv4cu 
Required VRAM3.3 GB
Updated2025-02-22
Maintainerpanda0125
Model Typestablelm
Model Files  0.2 GB   2.0 GB: 1-of-2   1.3 GB: 2-of-2   0.5 GB
Model ArchitectureStableLmForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than panda0125/5Cqv4cu.

Rank the 5Cqv4cu 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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