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Scm Llama3 7B Q8 V3 by sebdg

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Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Q8   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/sebdg/scm_llama3_7b_q8_v3 

Scm Llama3 7b Q8 V3 Benchmarks

LLME Score: 0.20305
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Scm Llama3 7B Q8 V3 (sebdg/scm_llama3_7b_q8_v3)

Scm Llama3 7B Q8 V3 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This model was trained 2x faster using Unsloth and Huggingface's TRL library.
LLM NameScm Llama3 7b Q8 V3
Repository 🤗https://huggingface.co/sebdg/scm_llama3_7b_q8_v3 
Base Model(s)  Llama 3 8B Instruct   unsloth/llama-3-8b-Instruct
Model Size8b
Required VRAM8.5 GB
Updated2024-12-22
Maintainersebdg
Model Typellama
Instruction-BasedYes
Model Files  8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q8
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than sebdg/scm_llama3_7b_q8_v3.

Rank the Scm Llama3 7B Q8 V3 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 v20241217
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