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Llama 3 15B Instruct Ft V2 AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:elinas/llama-3-15b-... Base model:quantized:elinas/ll...   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Llama-3-15B-Instruct-ft-v2-AWQ 

Llama 3 15B Instruct Ft V2 AWQ Benchmarks

ARC: 61.35 vs 96.7 (so35)-36.6%
HellaSwag: 78.81 vs 95.3 (gpt4)-17.3%
MMLU: 67.31 vs 88.3 (so35)-23.8%
TruthfulQA: 52.33 vs 59 (gpt4)-11.3%
WinoGrande: 76.32 vs 87.5 (gpt4)-12.8%
GSM8K: 72.48 vs 96.4 (so35)-24.8%
LLME Score: 0.21306
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 15B Instruct Ft V2 AWQ (solidrust/Llama-3-15B-Instruct-ft-v2-AWQ)

Llama 3 15B Instruct Ft V2 AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
AWQ is a low-bit weight quantization method for faster Transformers-based inference with 4-bit quantization.
Input Output 
Accepted Modalities:
text
LLM NameLlama 3 15B Instruct Ft V2 AWQ
Repository 🤗https://huggingface.co/solidrust/Llama-3-15B-Instruct-ft-v2-AWQ 
Base Model(s)  Llama 3 15B Instruct Ft V2   elinas/Llama-3-15B-Instruct-ft-v2
Model Size15b
Required VRAM9.4 GB
Updated2024-12-21
Maintainersolidrust
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.4 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Meta Llama 3 15B Instruct8K / 23.9 GB101
Llama 3 15B Instruct Ft V28K / 30.1 GB944
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Llama-3-15B-Instruct-ft-v2-AWQ.

Rank the Llama 3 15B Instruct Ft V2 AWQ 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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