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Openbuddy Llama3 8B V21.1 8K GGUF by JamePeng2023

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Openbuddy Llama3 8B V21.1 8K GGUF is an open-source language model by JamePeng2023. Features: 8b LLM, VRAM: 3.2GB, Context: 8K, License: other, Quantized, HF Score: 65.3, LLM Explorer Score: 0.15, Arc: 57.4, HellaSwag: 78.7, MMLU: 63.8, TruthfulQA: 55.5, WinoGrande: 75.2, GSM8K: 61.2.

  Autotrain compatible   Conversational   En   Endpoints compatible   Ext 8k   Ggml   Gguf   Llama   Llama-3   Q2   Quantized   Region:us   Zh
Model Card on HF 🤗: https://huggingface.co/JamePeng2023/Openbuddy-Llama3-8b-v21.1-8k-GGUF 

Openbuddy Llama3 8B V21.1 8K GGUF Benchmarks

ARC: 57.42 vs 96.7 (so35)-40.6%
HellaSwag: 78.73 vs 95.3 (gpt4)-17.4%
MMLU: 63.8 vs 88.3 (so35)-27.7%
TruthfulQA: 55.48 vs 59 (gpt4)-6%
WinoGrande: 75.22 vs 87.5 (gpt4)-14%
GSM8K: 61.18 vs 96.4 (so35)-36.5%
LLME Score: 0.14503
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openbuddy Llama3 8B V21.1 8K GGUF (JamePeng2023/Openbuddy-Llama3-8b-v21.1-8k-GGUF)
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Openbuddy Llama3 8B V21.1 8K GGUF Parameters and Internals

Model Type 
text generation, multilingual chatbot
Use Cases 
Areas:
multilingual chatbot, text generation
Applications:
chatbot interactions, multilingual communication
Primary Use Cases:
multilingual conversational agents
Limitations:
critical or high-stakes scenarios, medical fields, financial decisions, legal decisions
Considerations:
Users should be aware of potential risks and limiting factors when using this model.
Additional Notes 
This model is built with Meta Llama 3 and is not related to GPT or OpenAI.
Supported Languages 
en (English), zh (Chinese)
Input Output 
Input Format:
<|role|>...<|end|> format for system, user, and assistant interactions
Accepted Modalities:
text
Output Format:
textual responses
Performance Tips:
Guidelines emphasize using a fast tokenizer from transformers for better performance.
LLM NameOpenbuddy Llama3 8B V21.1 8K GGUF
Repository 🤗https://huggingface.co/JamePeng2023/Openbuddy-Llama3-8b-v21.1-8k-GGUF 
Base Model(s)  OpenBuddy/openbuddy-llama3-8b-v21.1-8k   OpenBuddy/openbuddy-llama3-8b-v21.1-8k
Model Size8b
Required VRAM3.2 GB
Updated2025-02-16
MaintainerJamePeng2023
Model Typellama
Model Files  3.2 GB   4.0 GB   4.9 GB   5.7 GB
Supported Languageszh en
GGML QuantizationYes
GGUF QuantizationYes
Context Length8k
Quantization Typegguf|ggml|q2|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad0|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than JamePeng2023/Openbuddy-Llama3-8b-v21.1-8k-GGUF.

Rank the Openbuddy Llama3 8B V21.1 8K GGUF 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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