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Meta Llama 3 8B Hf AWQ by solidrust

 »  All LLMs  »  solidrust  »  Meta Llama 3 8B Hf AWQ   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/solidrust/Meta-Llama-3-8B-hf-AWQ 

Meta Llama 3 8B Hf AWQ Benchmarks

ARC: 59.22 vs 96.7 (so35)-38.8%
HellaSwag: 82.02 vs 95.3 (gpt4)-13.9%
MMLU: 66.49 vs 88.3 (so35)-24.7%
TruthfulQA: 43.95 vs 59 (gpt4)-25.5%
WinoGrande: 77.11 vs 87.5 (gpt4)-11.9%
GSM8K: 45.34 vs 96.4 (so35)-53%
LLME Score: 0.19964
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Hf AWQ (solidrust/Meta-Llama-3-8B-hf-AWQ)

Meta Llama 3 8B Hf AWQ Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).
Model Architecture:
An optimized transformer architecture using auto-regressive language model techniques.
Input Output 
Accepted Modalities:
text
Output Format:
text and code only
LLM NameMeta Llama 3 8B Hf AWQ
Repository 🤗https://huggingface.co/solidrust/Meta-Llama-3-8B-hf-AWQ 
Base Model(s)  Meta Llama 3 8B Hf   Undi95/Meta-Llama-3-8B-hf
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Meta-Llama-3-8B-hf-AWQ.

Rank the Meta Llama 3 8B Hf AWQ 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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Release v20241227
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