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CPE Chatbot by YenJung

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  Autotrain compatible   Conversational   Doi:10.57967/hf/3398   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/YenJung/CPE_chatbot 

CPE Chatbot Benchmarks

LLME Score: 0.18893
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CPE Chatbot (YenJung/CPE_chatbot)

CPE Chatbot Parameters and Internals

LLM NameCPE Chatbot
Repository 🤗https://huggingface.co/YenJung/CPE_chatbot 
Model Size8b
Required VRAM16.1 GB
Updated2025-03-24
MaintainerYenJung
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB   2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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...ama3 8B Chinese Chat GGUF 8bit8K / 8.5 GB727165
Note: green Score (e.g. "73.2") means that the model is better than YenJung/CPE_chatbot.

Rank the CPE Chatbot 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 v20241227
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