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Llama 3 8B Instruct Bnb 4bit Winagent Q4 K M Old by irfanfadhullah

 »  All LLMs  »  irfanfadhullah  »  Llama 3 8B Instruct Bnb 4bit Winagent Q4 K M Old   URL Share it on

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  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Gguf   Instruct   Llama   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/irfanfadhullah/llama-3-8b-Instruct-bnb-4bit-winagent_q4_k_m_old 

Llama 3 8B Instruct Bnb 4bit Winagent Q4 K M Old Benchmarks

LLME Score: 0.18358
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct Bnb 4bit Winagent Q4 K M Old (irfanfadhullah/llama-3-8b-Instruct-bnb-4bit-winagent_q4_k_m_old)

Llama 3 8B Instruct Bnb 4bit Winagent Q4 K M Old Parameters and Internals

Model Type 
text-generation-inference, transformers, llama, gguf
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLlama 3 8B Instruct Bnb 4bit Winagent Q4 K M Old
Repository 🤗https://huggingface.co/irfanfadhullah/llama-3-8b-Instruct-bnb-4bit-winagent_q4_k_m_old 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM4.9 GB
Updated2025-02-22
Maintainerirfanfadhullah
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|4bit|q4_k
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than irfanfadhullah/llama-3-8b-Instruct-bnb-4bit-winagent_q4_k_m_old.

Rank the Llama 3 8B Instruct Bnb 4bit Winagent Q4 K M Old 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.
Release v20241227
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